Yixin Cao

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents ACL 2026 PRISM: Probabilistic Reward Model with Inherent Structural Modeling ACL 2026 CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization ACL 2026 Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models ACL 2025 EvoWiki: Evaluating LLMs on Evolving Knowledge ACL 2025 Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs ICLR 2025 Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025 S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners AAAI 2025 RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style ICLR 2025 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025 Are LLMs Rational Investors? A Study on the Financial Bias in LLMs ACL 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning ACL 2025 Multi-Programming Language Sandbox for LLMs ACL 2025 Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution ACL 2025 LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning ACL 2025 Disentangling Language and Culture for Evaluating Multilingual Large Language Models ACL 2025 SciAgent: Tool-augmented Language Models for Scientific Reasoning EMNLP 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NIPS 2024 MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NIPS 2024 Knowledge Graph Completion by Intermediate Variables Regularization NIPS 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance NIPS 2024 Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding ACL 2024 Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts ACL 2024 Planning Like Human: A Dual-process Framework for Dialogue Planning ACL 2024 Improving Large Language Models in Event Relation Logical Prediction ACL 2024 Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution ACL 2024 Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024 A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential ACL 2024 Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models ACL 2024 Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction ACL 2024 LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024 Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation EMNLP 2024 QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism EMNLP 2024 LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024 Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective EMNLP 2024 Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better ICML 2024 X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects NAACL 2024 Few-shot Event Detection: An Empirical Study and a Unified View ACL 2023 Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling ACL 2023 Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction ACL 2023 Knowledge Graph Embedding by Normalizing Flows AAAI 2023 FollowupQG: Towards information-seeking follow-up question generation AACL 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter EMNLP 2023 CoVariance-based Causal Debiasing for Entity and Relation Extraction EMNLP 2023 A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction EMNLP 2023 Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate EMNLP 2023 Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP 2023 Benchmarking Foundation Models with Language-Model-as-an-Examiner NIPS 2023 FollowupQG: Towards information-seeking follow-up question generation IJCNLP 2023 Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation ACL 2023 CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification ACL 2023 R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference EMNLP 2022 Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction ACL 2022 MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities ACL 2022 Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ACL 2022 ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification COLING 2022 DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction NAACL 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning AAAI 2022 Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability EMNLP 2021 Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion IJCNLP 2021 How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction ACL 2021 Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion ACL 2021 Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition IJCNLP 2021 How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction IJCNLP 2021 Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition ACL 2021 Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020 Improving Event Detection via Open-domain Trigger Knowledge ACL 2020 Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP 2020 Image Enhanced Event Detection in News Articles AAAI 2020 Explainable Reasoning over Knowledge Graphs for Recommendation AAAI 2019 Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model EMNLP 2019 Low-Resource Name Tagging Learned with Weakly Labeled Data EMNLP 2019 Multi-Channel Graph Neural Network for Entity Alignment ACL 2019 Low-Resource Name Tagging Learned with Weakly Labeled Data IJCNLP 2019 Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model IJCNLP 2019 Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision EMNLP 2018 Neural Collective Entity Linking COLING 2018 Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ACL 2017 On Modeling Sense Relatedness in Multi-prototype Word Embedding IJCNLP 2017 Name List Only? Target Entity Disambiguation in Short Texts EMNLP 2015