Shuaiqiang Wang

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 2026 Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models AAAI 2026 Efficient Thought Space Exploration Through Strategic Intervention AAAI 2026 MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching ACL 2026 Reinforced Efficient Reasoning via Semantically Diverse Exploration ACL 2026 Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026 VPN: Visual Prompt Navigation AAAI 2026 CoRanking: Collaborative Ranking with Small and Large Ranking Agents EMNLP 2025 CTR-Guided Generative Query Suggestion in Conversational Search EMNLP 2025 Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation ACL 2025 Enhancing Retrieval-Augmented Generation via Evidence Tree Search ACL 2025 From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions ICLR 2025 Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation ACL 2025 LLMs + Persona-Plug = Personalized LLMs ACL 2025 Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization EMNLP 2025 PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization NAACL 2025 Proactive Guidance of Multi-Turn Conversation in Industrial Search ACL 2025 Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models ACL 2025 Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models ACL 2025 Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization ACL 2025 TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning EMNLP 2025 Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation EMNLP 2025 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 A Robust Semantics-based Watermark for Large Language Model against Paraphrasing NAACL 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 Exploring Memorization in Fine-tuned Language Models ACL 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models NeurIPS 2024 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) IJCAI 2024 Improving the Robustness of Large Language Models via Consistency Alignment COLING 2024 Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method NAACL 2024 KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024 MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion NAACL 2024 MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) IJCAI 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 Boosting Event Extraction with Denoised Structure-to-Text Augmentation ACL 2023 DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment EMNLP 2023 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents EMNLP 2023 Learning to Tokenize for Generative Retrieval NeurIPS 2023 A Large Scale Search Dataset for Unbiased Learning to Rank NeurIPS 2022