Zhijiang Guo

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge ACL 2026 DebateQA: Evaluating Question Answering on Debatable Knowledge EACL 2026 Too Long, Do Re-weighting for Efficient LLM Reasoning Compression ACL 2026 Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models ICML 2025 Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning IJCNLP 2025 ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts EMNLP 2025 CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control ACL 2025 Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling ICLR 2025 EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning ICML 2025 FaStFact: Faster, Stronger Long-Form Factuality Evaluations in LLMs EMNLP 2025 FormalAlign: Automated Alignment Evaluation for Autoformalization ICLR 2025 OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling ICLR 2025 TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review EMNLP 2025 UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025 When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning EMNLP 2025 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 Do We Need Language-Specific Fact-Checking Models? The Case of Chinese EMNLP 2024 DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning ICLR 2024 DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering EMNLP 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NeurIPS 2024 Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions ACL 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning NeurIPS 2024 Knowledge Conflicts for LLMs: A Survey EMNLP 2024 LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall EMNLP 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs NeurIPS 2024 ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models ACL 2024 The Automated Verification of Textual Claims (AVeriTeC) Shared Task EMNLP 2024 Towards Human-aligned Evaluation for Linear Programming Word Problems COLING 2024 Towards Understanding Factual Knowledge of Large Language Models ICLR 2024 AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web NeurIPS 2023 Multimodal Automated Fact-Checking: A Survey EMNLP 2023 Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis ACL 2023 TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models EMNLP 2023 CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking NAACL 2022 METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets NeurIPS 2022 Scene Graph Modification as Incremental Structure Expanding COLING 2022 The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task EMNLP 2021 Uncovering Main Causalities for Long-tailed Information Extraction EMNLP 2021 Learning Latent Forests for Medical Relation Extraction IJCAI 2020 Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020 Reasoning with Latent Structure Refinement for Document-Level Relation Extraction ACL 2020 Attention Guided Graph Convolutional Networks for Relation Extraction ACL 2019 Better Transition-Based AMR Parsing with a Refined Search Space EMNLP 2018