Hongru Wang
49 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Core AI
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Natural Language Processing
(23)
Machine Learning
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Deep Learning
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Generation
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Optimization & Theory
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Keywords
large language model
(23)
reinforcement learning
(5)
tool use
(4)
language model
(4)
dialogue system
(4)
pre-trained language model
(4)
retrieval-augmented generation
(3)
prompt engineering
(3)
knowledge alignment
(3)
agent system
(2)
text classification
(2)
pre-trained model
(2)
multi-task learning
(2)
proximal policy optimization
(2)
chain-of-thought reasoning
(2)
multimodal learning
(2)
question answering
(2)
dialogue generation
(2)
conversational ai
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knowledge graph
(2)
Papers
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
Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation
ACL 2026
Mitigating Context Interference for Reliable and Efficient Search Agents
ACL 2026
Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents
ACL 2026
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
ACL 2026
WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models
ACL 2026
Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
ACL 2025
DecisionFlow: Advancing Large Language Model as Principled Decision Maker
EMNLP 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
ACL 2025
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
EMNLP 2025
NILE: Internal Consistency Alignment in Large Language Models
EMNLP 2025
Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
ACL 2025
SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs
EMNLP 2025
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions
NAACL 2025
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
ACL 2025
SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
NAACL 2025
SMART: Self-Aware Agent for Tool Overuse Mitigation
ACL 2025
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
NAACL 2025
ToolSpectrum: Towards Personalized Tool Utilization for Large Language Models
ACL 2025
TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments
ACL 2025
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
ACL 2025
AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
EMNLP 2024
AutoPSV: Automated Process-Supervised Verifier
NeurIPS 2024
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
ACL 2024
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
NAACL 2024
Fine-tuning after Prompting: an Explainable Way for Classification
ACL 2024
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning
COLING 2024
Knowledge Conflicts for LLMs: A Survey
EMNLP 2024
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
EMNLP 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction
COLING 2024
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges
ACL 2024
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering
ACL 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
NAACL 2024
SELF-GUARD: Empower the LLM to Safeguard Itself
NAACL 2024
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
EMNLP 2024
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
COLING 2024
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models
EMNLP 2024
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
EMNLP 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment
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
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
EMNLP 2023
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing
EMNLP 2023
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models
ACL 2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
ACL 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