Hongru Wang

Mitigating Context Interference for Reliable and Efficient Search Agents ACL 2026 Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation ACL 2026 Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents ACL 2026 WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models ACL 2026 TInR: Exploring Tool-Internalized Reasoning in Large Language Models ACL 2026 From Word to World: Can Large Language Models be Implicit Text-based World Models? ACL 2026 Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency ACL 2026 MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models ACL 2025 SMART: Self-Aware Agent for Tool Overuse Mitigation ACL 2025 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges EMNLP 2025 DecisionFlow: Advancing Large Language Model as Principled Decision Maker EMNLP 2025 SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs EMNLP 2025 Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges ACL 2025 Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst ACL 2025 TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments ACL 2025 ToolSpectrum: Towards Personalized Tool Utilization for Large Language Models ACL 2025 Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions NAACL 2025 Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering NAACL 2025 SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters NAACL 2025 UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models ACL 2025 Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs ACL 2025 ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025 MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024 DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models ACL 2024 Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges ACL 2024 Fine-tuning after Prompting: an Explainable Way for Classification ACL 2024 PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering ACL 2024 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning COLING 2024 AutoPSV: Automated Process-Supervised Verifier NIPS 2024 UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval COLING 2024 Knowledge Conflicts for LLMs: A Survey EMNLP 2024 VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models EMNLP 2024 AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction EMNLP 2024 SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation EMNLP 2024 Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA EMNLP 2024 SELF-GUARD: Empower the LLM to Safeguard Itself NAACL 2024 Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting NAACL 2024 Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models NAACL 2024 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models ACL 2023 Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs EMNLP 2023 Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration EMNLP 2023 Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues EMNLP 2023 MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging IJCNLP 2023 Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization ACL 2023 MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging AACL 2023 Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment EMNLP 2023 ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing EMNLP 2023 DIGAT: Modeling News Recommendation with Dual-Graph Interaction EMNLP 2022 CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning SEMEVAL 2020 CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning COLING 2020