Hongyu Lin

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models.
CoRR, February, 2025

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides.
CoRR, January, 2025

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.
CoRR, January, 2025

DBCopilot: Natural Language Querying over Massive Databases via Schema Routing.
Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Improved Sparse Upcycling for Instruction Tuning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm.
IEEE Trans. Evol. Comput., August, 2024

Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization.
IEEE CAA J. Autom. Sinica, June, 2024

The Life Cycle of Knowledge in Big Language Models: A Survey.
Mach. Intell. Res., April, 2024

AI for social science and social science of AI: A survey.
Inf. Process. Manag., March, 2024

Granger Causality Detection with Kolmogorov-Arnold Networks.
CoRR, 2024

The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model.
CoRR, 2024

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering.
CoRR, 2024

Transferable Post-training via Inverse Value Learning.
CoRR, 2024

Aligning Large Language Models via Self-Steering Optimization.
CoRR, 2024

A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models.
CoRR, 2024

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization.
CoRR, 2024

Multi-Facet Counterfactual Learning for Content Quality Evaluation.
CoRR, 2024

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
CoRR, 2024

READoc: A Unified Benchmark for Realistic Document Structured Extraction.
CoRR, 2024

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic.
CoRR, 2024

DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation.
CoRR, 2024

CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution.
CoRR, 2024

Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models.
CoRR, 2024

On-Policy Fine-grained Knowledge Feedback for Hallucination Mitigation.
CoRR, 2024

Towards Scalable Automated Alignment of LLMs: A Survey.
CoRR, 2024

Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching.
CoRR, 2024

URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression.
CoRR, 2024

Towards Universal Dense Blocking for Entity Resolution.
CoRR, 2024

Spiral of Silences: How is Large Language Model Killing Information Retrieval? - A Case Study on Open Domain Question Answering.
CoRR, 2024

Academically intelligent LLMs are not necessarily socially intelligent.
CoRR, 2024

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.
CoRR, 2024

Self-Retrieval: Building an Information Retrieval System with One Large Language Model.
CoRR, 2024

Base of RoPE Bounds Context Length.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Design of Racing Car Based on Image Recognition.
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024

Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Seg2Act: Global Context-aware Action Generation for Document Logical Structuring.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Few-shot Named Entity Recognition via Superposition Concept Discrimination.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning.
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

DLUE: Benchmarking Document Language Understanding.
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

A Behavior-aware Cause Identification Framework for Order Cancellation in Logistics Service.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Learning or Self-aligning? Rethinking Instruction Fine-tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SoFA: Shielded On-the-fly Alignment via Priority Rule Following.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Open Grounded Planning: Challenges and Benchmark Construction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Spiral of Silence: How is Large Language Model Killing Information Retrieval? - A Case Study on Open Domain Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

REInstruct: Building Instruction Data from Unlabeled Corpus.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Benchmarking Large Language Models in Retrieval-Augmented Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving named entity correctness of abstractive summarization by generative negative sampling.
Comput. Speech Lang., June, 2023

An Efficient and Unified Recognition Method for Multiple License Plates in Unconstrained Scenarios.
IEEE Trans. Intell. Transp. Syst., May, 2023

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

DBCopilot: Scaling Natural Language Querying to Massive Databases.
CoRR, 2023

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.
CoRR, 2023

DLUE: Benchmarking Document Language Understanding.
CoRR, 2023

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models.
CoRR, 2023

Harvesting Event Schemas from Large Language Models.
CoRR, 2023

A Drop of Ink Makes a Million Think: The Spread of False Information in Large Language Models.
CoRR, 2023

ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models.
CoRR, 2023

Toward Unified Controllable Text Generation via Regular Expression Instruction.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SentBench: Comprehensive Evaluation of Self-Supervised Sentence Representation with Benchmark Construction.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Document Information Extraction via Global Tagging.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

WebDP: Understanding Discourse Structures in Semi-Structured Web Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning In-context Learning for Named Entity Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dialogue Rewriting via Skeleton-Guided Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Universal Information Extraction as Unified Semantic Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Population of Degrading Small Impact Craters in the Chang'E-4 Landing Area Using Descent and Ground Images.
Remote. Sens., 2022

Research on energy saving algorithm of field animal monitoring based on cluster sensor network.
J. Intell. Fuzzy Syst., 2022

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

End-to-end neural event coreference resolution.
Artif. Intell., 2022

Recursive-YOLOv5 Network for Edible Mushroom Detection in Scenes With Vertical Stick Placement.
IEEE Access, 2022

ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

CATAMARAN: A Cross-lingual Long Text Abstractive Summarization Dataset.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

ECO v1: Towards Event-Centric Opinion Mining.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Pre-training to Match for Unified Low-shot Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Few-shot Named Entity Recognition with Self-describing Networks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Unified Structure Generation for Universal Information Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Procedural Text Understanding via Scene-Wise Evolution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision.
CoRR, 2021

Fine-grained Entity Typing via Label Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

From Learning-to-Match to Learning-to-Discriminate: Global Prototype Learning for Few-shot Relation Classification.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

From Discourse to Narrative: Knowledge Projection for Event Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Element Intervention for Open Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hierarchical multi-task learning with CRF for implicit discourse relation recognition.
Knowl. Based Syst., 2020

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

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Syntactic and Semantic-driven Learning for Open Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
A Smart Wearable Device for Preventing Indoor Electric Shock Hazards.
Proceedings of the Machine Learning and Intelligent Communications, 2019

Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cost-sensitive Regularization for Label Confusion-aware Event Detection.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Nugget Proposal Networks for Chinese Event Detection.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Adaptive Scaling for Sparse Detection in Information Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
ISCAS_Sogou at TAC-KBP 2017.
Proceedings of the 2017 Text Analysis Conference, 2017

Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015
A Context-Aware Topic Model for Statistical Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


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