Kang Liu

Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs ACL 2026 Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression ACL 2026 Reinforcing Agentic Search Via Reward Density Optimization ACL 2026 Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do ACL 2026 Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs ACL 2026 GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks ACL 2026 SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention AAAI 2026 RetroLM: Retrieval-Augmented KVs for Long-Context Processing AAAI 2026 SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning AAAI 2026 Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning AAAI 2026 Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning ACL 2026 Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach ACL 2026 Theory-optimal Quantization Based on Flatness ACL 2026 TaREx: Reinforcement Learning for Code-Driven Table Reasoning AAAI 2026 R³A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms ACL 2026 Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026 PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation AAAI 2026 EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization AAAI 2026 Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts ACL 2026 If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs ACL 2026 Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs ACL 2026 Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models ACL 2026 KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model EMNLP 2025 Towards Adaptive Mechanism Activation in Language Agent COLING 2025 Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering COLING 2025 Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss ICML 2025 Adaptive Dual Guidance Knowledge Distillation AAAI 2025 MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models ICLR 2025 Knowledge Localization: Mission Not Accomplished? Enter Query Localization! ICLR 2025 Capability Localization: Capabilities Can be Localized rather than Individual Knowledge ICLR 2025 Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning EMNLP 2025 MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation EMNLP 2025 Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing EMNLP 2025 Local Dense Logit Relations for Enhanced Knowledge Distillation ICCV 2025 Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval ACL 2025 Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation ACL 2025 RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment ACL 2025 Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate ACL 2025 Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness ACL 2025 CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction ACL 2025 CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance AAAI 2025 Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models AAAI 2025 Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks AAAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model EMNLP 2025 Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models ACL 2025 The Knowledge Microscope: Features as Better Analytical Lenses than Neurons ACL 2025 Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents ACL 2025 A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns ACL 2025 Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025 Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models ACL 2025 Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity ACL 2025 Exploiting Contextual Knowledge in LLMs through 𝒱-usable Information based Layer Enhancement ACL 2025 Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models ACL 2025 Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models NAACL 2025 DTELS: Towards Dynamic Granularity of Timeline Summarization NAACL 2025 LLaSA: Large Language and Structured Data Assistant NAACL 2025 Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation CVPR 2025 From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs COLING 2025 SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models COLING 2025 Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring CVPR 2024 ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models NAACL 2024 S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model NAACL 2024 Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation MICCAI 2024 Oasis: Data Curation and Assessment System for Pretraining of Large Language Models IJCAI 2024 Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling IJCAI 2024 DFD: Distilling the Feature Disparity Differently for Detectors ICML 2024 Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks ICLR 2024 SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings ICLR 2024 Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024 RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models NIPS 2024 ItD: Large Language Models Can Teach Themselves Induction through Deduction ACL 2024 Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models ACL 2024 Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning ACL 2024 MULFE: A Multi-Level Benchmark for Free Text Model Editing ACL 2024 CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph ACL 2024 Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models ACL 2024 WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing ACL 2024 Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 2024 ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model ACL 2024 Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering ACL 2024 AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation EMNLP 2024 LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning EMNLP 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NIPS 2024 Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons AAAI 2024 Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024 Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering COLING 2024 MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts COLING 2024 NutFrame: Frame-based Conceptual Structure Induction with LLMs COLING 2024 Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database COLING 2024 Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models COLING 2024 Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning COLING 2024 Open Event Causality Extraction by the Assistance of LLM in Task Annotation, Dataset, and Method COLING 2024 Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization EMNLP 2024 KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model EMNLP 2024 Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering EMNLP 2024 Improving Zero-shot LLM Re-Ranker with Risk Minimization EMNLP 2024 Commonsense Knowledge Editing Based on Free-Text in LLMs EMNLP 2024 DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models EMNLP 2024 ABSEval: An Agent-based Framework for Script Evaluation EMNLP 2024 On the In-context Generation of Language Models EMNLP 2024 Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models EMNLP 2024 Does Large Language Model Contain Task-Specific Neurons? EMNLP 2024 Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024 Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024 On the Effects of Structural Modeling for Neural Semantic Parsing CONLL 2023 Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs EMNLP 2023 LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation EMNLP 2023 Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching EMNLP 2023 DiffusionSL: Sequence Labeling via Tag Diffusion Process EMNLP 2023 Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model EACL 2023 A Hierarchical Explanation Generation Method Based on Feature Interaction Detection ACL 2023 EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata ACL 2023 Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints ACL 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network ACL 2023 Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023 S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering ACL 2023 ParaLS: Lexical Substitution via Pretrained Paraphraser ACL 2023 Learning with Partial Annotations for Event Detection ACL 2023 Multi-Target Semantic Parsing with Collaborative Deliberation Network IJCNLP 2023 Multi-Target Semantic Parsing with Collaborative Deliberation Network AACL 2023 Chinese Lexical Substitution: Dataset and Method EMNLP 2023 Generative Calibration for In-context Learning EMNLP 2023 Large Language Models are Better Reasoners with Self-Verification EMNLP 2023 Event Ontology Completion with Hierarchical Structure Evolution Networks EMNLP 2023 Complex Event Schema Induction with Knowledge-Enriched Diffusion Model EMNLP 2023 Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023 ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models EMNLP 2023 Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning AAAI 2023 Event Process Typing via Hierarchical Optimal Transport AAAI 2023 InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models EMNLP 2023 MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models EMNLP 2023 On the Effects of Structural Modeling for Neural Semantic Parsing EMNLP 2023 ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook EMNLP 2023 CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers COLING 2022 Logic Traps in Evaluating Attribution Scores ACL 2022 Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing ACL 2022 Incremental Intent Detection for Medical Domain with Contrast Replay Networks ACL 2022 Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder COLING 2022 Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach COLING 2022 Generating Temporally-ordered Event Sequences via Event Optimal Transport COLING 2022 Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts COLING 2022 Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning COLING 2022 CASIA@SMM4H’22: A Uniform Health Information Mining System for Multilingual Social Media Texts COLING 2022 Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation COLING 2022 A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing EMNLP 2022 CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models EMNLP 2022 CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding EMNLP 2022 MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs EMNLP 2022 LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer NAACL 2022 CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities NAACL 2022 LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer SEMEVAL 2022 CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities SEMEVAL 2022 LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ACL 2021 LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification IJCNLP 2021 Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks IJCNLP 2021 Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism IJCNLP 2021 Biomedical Concept Normalization by Leveraging Hypernyms EMNLP 2021 Document-level Event Extraction via Parallel Prediction Networks IJCNLP 2021 Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement IJCNLP 2021 Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement ACL 2021 Document-level Event Extraction via Parallel Prediction Networks ACL 2021 Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism ACL 2021 Alignment Rationale for Natural Language Inference ACL 2021 Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks ACL 2021 A Large-Scale Chinese Multimodal NER Dataset with Speech Clues ACL 2021 Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images AAAI 2021 Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks EMNLP 2021 Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks NAACL 2021 Knowledge Guided Metric Learning for Few-Shot Text Classification NAACL 2021 Alignment Rationale for Natural Language Inference IJCNLP 2021 Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations EMNLP 2021 Set Generation Networks for End-to-End Knowledge Base Population EMNLP 2021 CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset EMNLP 2021 Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021 A Large-Scale Chinese Multimodal NER Dataset with Speech Clues IJCNLP 2021 Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents EACL 2021 Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification EMNLP 2021 Event Extraction as Machine Reading Comprehension EMNLP 2020 Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding AAAI 2020 Scene Restoring for Narrative Machine Reading Comprehension EMNLP 2020 Graph-Based Knowledge Integration for Question Answering over Dialogue COLING 2020 Connecting Embeddings for Knowledge Graph Entity Typing ACL 2020 Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes ACL 2020 MIE: A Medical Information Extractor towards Medical Dialogues ACL 2020 KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision COLING 2020 Pre-trained Language Model Based Active Learning for Sentence Matching COLING 2020 HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding ACL 2020 How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020 Reconstructing Event Regions for Event Extraction via Graph Attention Networks AACL 2020 Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019 Machine Reading Comprehension Using Structural Knowledge Graph-aware Network EMNLP 2019 Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network EMNLP 2019 Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss EMNLP 2019 Neural Cross-Lingual Event Detection with Minimal Parallel Resources EMNLP 2019 Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning EMNLP 2019 Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks AAAI 2019 Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots CONLL 2019 Machine Reading Comprehension Using Structural Knowledge Graph-aware Network IJCNLP 2019 Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation ACL 2019 AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019 Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning IJCNLP 2019 Neural Cross-Lingual Event Detection with Minimal Parallel Resources IJCNLP 2019 Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss IJCNLP 2019 Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network IJCNLP 2019 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism EMNLP 2018 Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms EMNLP 2018 Curriculum Learning for Natural Answer Generation IJCAI 2018 DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data ACL 2018 Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism ACL 2018 Pattern-revising Enhanced Simple Question Answering over Knowledge Bases COLING 2018 Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms ACL 2017 Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL 2017 Conditional Generative Adversarial Networks for Commonsense Machine Comprehension IJCAI 2017 IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations IJCNLP 2017 Automatically Labeled Data Generation for Large Scale Event Extraction ACL 2017 Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors ACL 2017 An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge ACL 2017 Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning ACL 2017 Inner Attention based Recurrent Neural Networks for Answer Selection ACL 2016 Employing External Rich Knowledge for Machine Comprehension IJCAI 2016 Learning to Represent Review with Tensor Decomposition for Spam Detection EMNLP 2016 Mining Inference Formulas by Goal-Directed Random Walks EMNLP 2016 Leveraging FrameNet to Improve Automatic Event Detection ACL 2016 Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks IJCNLP 2015 Sentiment-Aspect Extraction based on Restricted Boltzmann Machines IJCNLP 2015 Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks ACL 2015 Knowledge Graph Embedding via Dynamic Mapping Matrix ACL 2015 Sentiment-Aspect Extraction based on Restricted Boltzmann Machines ACL 2015 Knowledge Graph Embedding via Dynamic Mapping Matrix IJCNLP 2015 Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks EMNLP 2015 Question Answering over Linked Data Using First-order Logic EMNLP 2014 Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking ACL 2014 Joint Opinion Relation Detection Using One-Class Deep Neural Network COLING 2014 Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction COLING 2014 Relation Classification via Convolutional Deep Neural Network COLING 2014 Product Feature Mining: Semantic Clues versus Syntactic Constituents ACL 2014 Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge IJCNLP 2013 Cross Lingual Entity Linking with Bilingual Topic Model IJCAI 2013 Opinion Target Extraction Using Partially-Supervised Word Alignment Model IJCAI 2013 Mining Opinion Words and Opinion Targets in a Two-Stage Framework ACL 2013 Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews ACL 2013 A Weakly Supervised Bayesian Model for Violence Detection in Social Media IJCNLP 2013 Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering COLING 2012 Opinion Target Extraction Using Word-Based Translation Model CONLL 2012 Opinion Target Extraction Using Word-Based Translation Model EMNLP 2012 Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives ACL 2011 Improving Dependency Parsing with Fined-Grained Features IJCNLP 2011 Learning the Latent Topics for Question Retrieval in Community QA IJCNLP 2011 Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing ACL 2011 A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment IJCNLP 2009 A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment ACL 2009 Adding Redundant Features for CRFs-based Sentence Sentiment Classification EMNLP 2008 Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages ACL 2008