Shuaiqiang Wang
41 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
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ACL (13)
EMNLP (11)
AAAI (5)
NAACL (4)
NIPS (4)
IJCAI (2)
COLING (1)
ICLR (1)
Top co-authors
Research topics
Keywords
large language model
(19)
retrieval-augmented generation
(9)
information retrieval
(9)
reinforcement learning
(5)
knowledge distillation
(4)
learning to rank
(3)
direct preference optimization
(3)
language model
(3)
question answering
(3)
transfer learning
(3)
benchmark dataset
(2)
instruction tuning
(2)
monte carlo tree search
(2)
semantic embedding
(2)
zero-shot learning
(2)
data augmentation
(2)
preference optimization
(2)
preference alignment
(2)
text generation
(2)
in-context learning
(2)
Papers
Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models
AAAI 2026
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
AAAI 2026
MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
ACL 2026
VPN: Visual Prompt Navigation
AAAI 2026
Efficient Thought Space Exploration Through Strategic Intervention
AAAI 2026
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
AAAI 2026
Reinforced Efficient Reasoning via Semantically Diverse Exploration
ACL 2026
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
ACL 2025
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
ACL 2025
Proactive Guidance of Multi-Turn Conversation in Industrial Search
ACL 2025
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
NAACL 2025
Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization
ACL 2025
Retrieval Models Arenβt 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
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
EMNLP 2025
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
EMNLP 2025
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
EMNLP 2025
CTR-Guided Generative Query Suggestion in Conversational Search
EMNLP 2025
CoRanking: Collaborative Ranking with Small and Large Ranking Agents
EMNLP 2025
Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation
EMNLP 2025
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
ICLR 2025
LLMs + Persona-Plug = Personalized LLMs
ACL 2025
Enhancing Retrieval-Augmented Generation via Evidence Tree Search
ACL 2025
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
NIPS 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training
NIPS 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
Improving the Robustness of Large Language Models via Consistency Alignment
COLING 2024
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
IJCAI 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
IJCAI 2024
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
NAACL 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
NAACL 2024
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
NAACL 2024
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
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
ACL 2023
Learning to Tokenize for Generative Retrieval
NIPS 2023
A Large Scale Search Dataset for Unbiased Learning to Rank
NIPS 2022