Jiafeng Guo

Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding ACL 2026 Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026 Gated Differentiable Working Memory for Long-Context Language Modeling ACL 2026 Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026 Detoxification for LLM: From Dataset Itself ACL 2026 Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models ACL 2026 Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 Modeling Human-Like Cognition for Stance Detection: Integrating Intuitive Judgment and Analytical Reasoning ACL 2026 Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation ACL 2026 Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation ACL 2026 Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective EMNLP 2025 A Generative Framework for Personalized Sticker Retrieval EMNLP 2025 QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory EMNLP 2025 Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction EMNLP 2025 Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception ACL 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective ACL 2025 The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems ACL 2025 KnowCoder-X: Boosting Multilingual Information Extraction via Code ACL 2025 G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models ACL 2025 A Survey of Link Prediction in N-ary Knowledge Graphs EMNLP 2025 Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation EMNLP 2025 MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework EMNLP 2025 Large Language Model-Based Event Relation Extraction with Rationales COLING 2025 Inductive Link Prediction in N-ary Knowledge Graphs COLING 2025 MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation COLING 2025 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models AAAI 2025 Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation NAACL 2025 CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025 Generative Retrieval Meets Multi-Graded Relevance NIPS 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 Few-shot Link Prediction on Hyper-relational Facts COLING 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts EMNLP 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 Nested Event Extraction upon Pivot Element Recognition COLING 2024 Selective Temporal Knowledge Graph Reasoning COLING 2024 LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs EMNLP 2024 Class-Incremental Few-Shot Event Detection COLING 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NIPS 2024 KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction ACL 2024 MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning ACL 2024 Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval ACL 2024 When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024 Rich Event Modeling for Script Event Prediction AAAI 2023 Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023 Semantic Structure Enhanced Event Causality Identification ACL 2023 Prompt Tuning with Contradictory Intentions for Sarcasm Recognition EACL 2023 Temporal Knowledge Graph Reasoning Based on N-tuple Modeling EMNLP 2023 From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification EMNLP 2023 Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) IJCAI 2023 Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection EMNLP 2022 HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning EMNLP 2022 Euphemism Detection by Transformers and Relational Graph Attention Network EMNLP 2022 A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty CVPR 2022 CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction COLING 2022 MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification COLING 2022 Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning ACL 2022 MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities IJCAI 2022 Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) IJCAI 2022 A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict NAACL 2022 Visual Named Entity Linking: A New Dataset and A Baseline EMNLP 2022 Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ACL 2021 Transformation Driven Visual Reasoning CVPR 2021 Integrating Deep Event-Level and Script-Level Information for Script Event Prediction EMNLP 2021 Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs IJCNLP 2021 Learning to Truncate Ranked Lists for Information Retrieval AAAI 2021 Sketch and Customize: A Counterfactual Story Generator AAAI 2021 Bidirectional Dependency-Guided Attention for Relation Extraction ACML 2020 Structure Learning for Headline Generation AAAI 2020 NeuInfer: Knowledge Inference on N-ary Facts ACL 2020 On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation ICML 2020 Beyond Language: Learning Commonsense from Images for Reasoning EMNLP 2020 Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings COLING 2020 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Event Detection with Multi-Order Graph Convolution and Aggregated Attention IJCNLP 2019 An Adaptive Framework for Conversational Question Answering AAAI 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019 Event Detection with Multi-Order Graph Convolution and Aggregated Attention EMNLP 2019 ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation ACL 2019 Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation IJCAI 2018 Learning to Control the Specificity in Neural Response Generation ACL 2018 Tailored Sequence to Sequence Models to Different Conversation Scenarios ACL 2018 Locally Smoothed Neural Networks ACML 2017 Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN IJCAI 2016 Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations IJCNLP 2015 Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations ACL 2015 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012