Lingyong Yan
29 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(76)
π€
Dynamic Duo
(16)
π
Keyword Champion
(5)
π§¬
Topic Evolution
π
Century Club
(27)
π
Trend Setter
ποΈ
Keyword Collector
(134)
β
The Questioner
(3)
β‘
Prolific Year
(7)
Conferences
EMNLP (13)
ACL (5)
IJCNLP (3)
AAAI (2)
NAACL (2)
COLING (1)
EACL (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(7)
entity set expansion
(5)
language model
(5)
question answering
(4)
information retrieval
(4)
tool learning
(3)
benchmark evaluation
(2)
retrieval-augmented generation
(2)
open relation extraction
(2)
knowledge extraction
(2)
representation learning
(2)
structural causal model
(2)
transfer learning
(2)
encoder-decoder architecture
(2)
factual knowledge
(2)
instruction tuning
(2)
adversarial learning
(2)
document retrieval
(2)
masked language model
(2)
monte carlo tree search
(2)
Papers
LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts
EACL 2026
Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
AAAI 2026
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
NAACL 2025
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
ACL 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
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
ICLR 2025
Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
EMNLP 2025
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
EMNLP 2025
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
EMNLP 2025
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
EMNLP 2024
Improving the Robustness of Large Language Models via Consistency Alignment
COLING 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
EMNLP 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
EMNLP 2024
Learning to Use Tools via Cooperative and Interactive Agents
EMNLP 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
NAACL 2024
Learning to Tokenize for Generative Retrieval
NIPS 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
Element Intervention for Open Relation Extraction
ACL 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
EMNLP 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
IJCNLP 2021
Element Intervention for Open Relation Extraction
IJCNLP 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
ACL 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
IJCNLP 2019
Learning to Bootstrap for Entity Set Expansion
EMNLP 2019