Lingyong Yan
26 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Artificial Intelligence
(21)
Core AI
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Machine Learning
(18)
Natural Language Processing
(16)
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Deep Learning
(12)
Generation
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large language model
(8)
language model
(5)
information retrieval
(4)
question answering
(4)
entity set expansion
(4)
retrieval-augmented generation
(3)
tool learning
(3)
benchmark evaluation
(2)
adversarial learning
(2)
hallucination mitigation
(2)
encoder-decoder architecture
(2)
instruction tuning
(2)
transfer learning
(2)
representation learning
(2)
document retrieval
(2)
preference alignment
(1)
knowledge editing
(1)
adversarial robustness
(1)
knowledge distillation
(1)
attention mechanism
(1)
Papers
Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
AAAI 2026
LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts
EACL 2026
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
ACL 2025
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
EMNLP 2025
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
ICLR 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
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
EMNLP 2025
Retrieval Models Arenβt Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
ACL 2025
Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization
ACL 2025
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
EMNLP 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
Learning to Use Tools via Cooperative and Interactive Agents
EMNLP 2024
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
EMNLP 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
EMNLP 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
Learning to Tokenize for Generative Retrieval
NeurIPS 2023
Element Intervention for Open Relation Extraction
ACL 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
ACL 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
EMNLP 2021
End-to-End Bootstrapping Neural Network for Entity Set Expansion
AAAI 2020
Global Bootstrapping Neural Network for Entity Set Expansion
EMNLP 2020
Learning to Bootstrap for Entity Set Expansion
EMNLP 2019