Ji-Rong Wen

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models ACL 2026 LLM-Generated Text May Harm Your Retrieval! A Robust Detection Strategy for Retrieval-Augmented Generation ACL 2026 LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models ACL 2026 RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection ACL 2026 Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models ACL 2026 Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment ICCV 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation ACL 2025 Progressive Multimodal Reasoning via Active Retrieval ACL 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking ACL 2025 Neuro-Symbolic Query Compiler ACL 2025 MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation ICML 2025 One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models AAAI 2025 Regulatory DNA Sequence Design with Reinforcement Learning ICLR 2025 Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing WACV 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation NAACL 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 Distilling Rule-based Knowledge into Large Language Models COLING 2025 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation COLING 2025 What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning COLING 2025 Improving Retrospective Language Agents via Joint Policy Gradient Optimization NAACL 2025 Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation AAAI 2025 Neuron based Personality Trait Induction in Large Language Models ICLR 2025 Exploring the Design Space of Visual Context Representation in Video MLLMs ICLR 2025 From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions ICLR 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025 Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning ICLR 2025 Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization ICLR 2025 Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback ICLR 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents ICLR 2025 ICLEval: Evaluating In-Context Learning Ability of Large Language Models COLING 2025 Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization EMNLP 2025 OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain EMNLP 2025 Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency EMNLP 2025 Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025 Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025 ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025 MMATH: A Multilingual Benchmark for Mathematical Reasoning EMNLP 2025 Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025 SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis EMNLP 2025 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 BASES: Large-scale Web Search User Simulation with Large Language Model based Agents EMNLP 2024 Large Language Model-based Human-Agent Collaboration for Complex Task Solving EMNLP 2024 Learning Dynamic Multi-attribute Interest for Personalized Product Search EMNLP 2024 AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024 INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning ACL 2024 Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs ACL 2024 Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models ACL 2024 Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024 DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy ACL 2024 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024 LLMBox: A Comprehensive Library for Large Language Models ACL 2024 Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model ACL 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration ACL 2024 Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training ICML 2024 JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models NIPS 2024 Exploring Context Window of Large Language Models via Decomposed Positional Vectors NIPS 2024 P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024 BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024 ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024 Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NIPS 2024 Reflective Multi-Agent Collaboration based on Large Language Models NIPS 2024 Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024 Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation EACL 2024 Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models ECCV 2024 Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment ICLR 2024 Your Career Path Matters in Person-Job Fit AAAI 2024 An Analysis and Mitigation of the Reversal Curse EMNLP 2024 Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023 Visually-augmented pretrained language models for NLP tasks without images ACL 2023 Learning to Imagine: Visually-Augmented Natural Language Generation ACL 2023 TOME: A Two-stage Approach for Model-based Retrieval ACL 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 Reward Imputation with Sketching for Contextual Batched Bandits NIPS 2023 ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models EMNLP 2023 UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph ICLR 2023 Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning NIPS 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023 A Thorough Examination on Zero-shot Dense Retrieval EMNLP 2023 Diffusion Models for Non-autoregressive Text Generation: A Survey IJCAI 2023 Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023 ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023 SSP: Self-Supervised Post-training for Conversational Search ACL 2023 Zero-shot Visual Question Answering with Language Model Feedback ACL 2023 MVP: Multi-task Supervised Pre-training for Natural Language Generation ACL 2023 The Web Can Be Your Oyster for Improving Language Models ACL 2023 HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models EMNLP 2023 StructGPT: A General Framework for Large Language Model to Reason over Structured Data EMNLP 2023 Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models EMNLP 2023 Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023 Optimal Partial Transport Based Sentence Selection for Long-form Document Matching COLING 2022 Log-Polar Space Convolution Layers NIPS 2022 Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited NIPS 2022 Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records NIPS 2022 MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation ACL 2022 There Are a Thousand Hamlets in a Thousand People’s Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory ACL 2022 Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network ACL 2022 Debiased Contrastive Learning of Unsupervised Sentence Representations ACL 2022 Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022 Semantic Sentence Matching via Interacting Syntax Graphs COLING 2022 Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models COLING 2022 Context-Tuning: Learning Contextualized Prompts for Natural Language Generation COLING 2022 COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval CVPR 2022 Learning To Answer Questions in Dynamic Audio-Visual Scenarios CVPR 2022 ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022 TextBox 2.0: A Text Generation Library with Pre-trained Language Models EMNLP 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 A Multi-Modal Knowledge Graph for Classical Chinese Poetry EMNLP 2022 Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification ICLR 2022 Learning to Transfer Prompts for Text Generation NAACL 2022 ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022 Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation NAACL 2022 Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models NAACL 2022 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System IJCNLP 2021 Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models IJCNLP 2021 Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021 Domain-Adaptive Few-Shot Learning WACV 2021 A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech ACL 2021 A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations ACL 2021 RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking EMNLP 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 TextBox: A Unified, Modularized, and Extensible Framework for Text Generation ACL 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models ACL 2021 A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions IJCAI 2021 Pretrained Language Model for Text Generation: A Survey IJCAI 2021 PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval ACL 2021 Compressed Video Contrastive Learning NIPS 2021 Regret Bounds for Online Kernel Selection in Continuous Kernel Space AAAI 2021 PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval IJCNLP 2021 A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech IJCNLP 2021 A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations IJCNLP 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators IJCNLP 2021 TextBox: A Unified, Modularized, and Extensible Framework for Text Generation IJCNLP 2021 Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020 Towards Topic-Guided Conversational Recommender System COLING 2020 Leveraging Multi-Token Entities in Document-Level Named Entity Recognition AAAI 2020 Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020 Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields EMNLP 2020 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network IJCNLP 2019 A Neural Citation Count Prediction Model based on Peer Review Text EMNLP 2019 Recursive Visual Attention in Visual Dialog CVPR 2019 Face-Focused Cross-Stream Network for Deception Detection in Videos CVPR 2019 Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019 A Neural Citation Count Prediction Model based on Peer Review Text IJCNLP 2019 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network EMNLP 2019 Domain-Invariant Projection Learning for Zero-Shot Recognition NIPS 2018 Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing IJCAI 2015 Social Image Parsing by Cross-Modal Data Refinement IJCAI 2015 Query Understanding through Knowledge-Based Conceptualization IJCAI 2015 Improving Web Search Ranking by Incorporating Structured Annotation of Queries EMNLP 2013 Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches COLING 2010 Employing Topic Models for Pattern-based Semantic Class Discovery IJCNLP 2009 Employing Topic Models for Pattern-based Semantic Class Discovery ACL 2009 Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008