Hongyu Lin

97 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🏃 Academic Marathon (10) 🏠 Conference Loyalist (41) 🏆 Keyword Champion (2) 🔬 Deep Specialist (23) 🧬 Topic Evolution 🤝 Dynamic Duo (91) 📈 Trend Setter ⚡ Prolific Year (5) ❓ The Questioner (12) 💎 Century Club (93) 🗃️ Keyword Collector (52) 🔥 Unstoppable (9)

Conferences

ACL (41) EMNLP (15) AAAI (9) COLING (9) IJCNLP (8) ICLR (4) EACL (2) NAACL (2) NIPS (2) SEMEVAL (2) AACL (1) ICCV (1) IJCAI (1)

Top co-authors

Xianpei Han (95) Le Sun (91) Yaojie Lu (63) Ben He (16) Boxi Cao (15) Jiawei Chen (11) Meng Liao (10) Xuanang Chen (8) Xinyu Lu (8) Jin Xu (8)

Research topics

Reinforcement Learning (1) Reasoning (1)

Keywords

large language model (32) named entity recognition (12) retrieval-augmented generation (7) few-shot learning (6) benchmark evaluation (6) knowledge distillation (5) event extraction (5) transfer learning (5) structural causal model (5) question answering (5) event detection (4) representation learning (4) information extraction (4) neural network (4) distant supervision (4) model compression (3) knowledge graph (3) zero-shot learning (3) self-supervised learning (3) factual knowledge (3)

Papers

Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models EACL 2026

AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing AAAI 2026

Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation AAAI 2026

Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration EACL 2026

Transferable Post-training via Inverse Value Learning NAACL 2025

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR 2025

The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model ICLR 2025

Large Language Models Often Say One Thing and Do Another ICLR 2025

DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking ACL 2025

Sparse Latents Steer Retrieval-Augmented Generation ACL 2025

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search ACL 2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025

CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution ACL 2025

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization ICLR 2025

ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers ICCV 2025

RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing EMNLP 2025

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides EMNLP 2025

ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch EMNLP 2025

Teach Small Models to Reason by Curriculum Distillation EMNLP 2025

Improved Sparse Upcycling for Instruction Tuning COLING 2025

Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching COLING 2025

READoc: A Unified Benchmark for Realistic Document Structured Extraction ACL 2025

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect ACL 2025

Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025

The Linguistic Connectivities Within Large Language Models ACL 2025

On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025

Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic ACL 2025

AutoAlign: Get Your LLM Aligned with Minimal Annotations ACL 2025

Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning ACL 2025

DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation AAAI 2025

SoFA: Shielded On-the-fly Alignment via Priority Rule Following ACL 2024

Base of RoPE Bounds Context Length NIPS 2024

Benchmarking Large Language Models in Retrieval-Augmented Generation AAAI 2024

Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting AAAI 2024

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models? ACL 2024

Open Grounded Planning: Challenges and Benchmark Construction ACL 2024

Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024

Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering ACL 2024

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation ACL 2024

XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification ACL 2024

REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NIPS 2024

Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations ACL 2024

Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024

ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models COLING 2024

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation COLING 2024

Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models COLING 2024

Seg2Act: Global Context-aware Action Generation for Document Logical Structuring EMNLP 2024

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024

Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering EMNLP 2024

Learning In-context Learning for Named Entity Recognition ACL 2023

Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing ACL 2023

WebDP: Understanding Discourse Structures in Semi-Structured Web Documents ACL 2023

Toward Unified Controllable Text Generation via Regular Expression Instruction IJCNLP 2023

Toward Unified Controllable Text Generation via Regular Expression Instruction AACL 2023

Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? EMNLP 2023

Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension EMNLP 2023

Universal Information Extraction as Unified Semantic Matching AAAI 2023

Dialogue Rewriting via Skeleton-Guided Generation AAAI 2023

Procedural Text Understanding via Scene-Wise Evolution AAAI 2022

ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis NAACL 2022

Unified Structure Generation for Universal Information Extraction ACL 2022

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction IJCAI 2022

Pre-training to Match for Unified Low-shot Relation Extraction ACL 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View ACL 2022

ECO v1: Towards Event-Centric Opinion Mining ACL 2022

Few-shot Named Entity Recognition with Self-describing Networks ACL 2022

ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis SEMEVAL 2022

Element Intervention for Open Relation Extraction IJCNLP 2021

De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021

Element Intervention for Open Relation Extraction ACL 2021

Fine-grained Entity Typing via Label Reasoning EMNLP 2021

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model AAAI 2021

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction ACL 2021

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases ACL 2021

From Discourse to Narrative: Knowledge Projection for Event Relation Extraction ACL 2021

From Discourse to Narrative: Knowledge Projection for Event Relation Extraction IJCNLP 2021

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases IJCNLP 2021

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction IJCNLP 2021

De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention IJCNLP 2021

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling COLING 2020

A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? EMNLP 2020

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling SEMEVAL 2020

Syntactic and Semantic-driven Learning for Open Information Extraction EMNLP 2020

Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition IJCNLP 2019

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning ACL 2019

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks ACL 2019

Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019

Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition EMNLP 2019

Adaptive Scaling for Sparse Detection in Information Extraction ACL 2018

Nugget Proposal Networks for Chinese Event Detection ACL 2018

Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension EMNLP 2017

A Context-Aware Topic Model for Statistical Machine Translation ACL 2015

A Context-Aware Topic Model for Statistical Machine Translation IJCNLP 2015