Yaojie Lu
Orcid: 0000-0002-5842-7715Affiliations:
- Institute of Software, Chinese Academy of Sciences, China
According to our database1,
Yaojie Lu authored at least 125 papers
between 2015 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination.
CoRR, May, 2026
Your Teacher Can't Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation.
CoRR, May, 2026
LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents.
CoRR, May, 2026
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation.
CoRR, May, 2026
Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards.
CoRR, May, 2026
LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation.
CoRR, May, 2026
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models.
CoRR, April, 2026
Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models.
CoRR, April, 2026
Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces.
CoRR, April, 2026
Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning.
CoRR, March, 2026
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards.
CoRR, March, 2026
CoRR, February, 2026
Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, December, 2025
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning.
CoRR, November, 2025
When Models Outthink Their Safety: Mitigating Self-Jailbreak in Large Reasoning Models with Chain-of-Guardrails.
CoRR, October, 2025
CoRR, October, 2025
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing.
CoRR, August, 2025
Beyond Isolated Dots: Benchmarking Structured Table Construction as Deep Knowledge Extraction.
CoRR, July, 2025
CoRR, July, 2025
Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns.
IEEE Trans. Comput. Soc. Syst., June, 2025
CoRR, June, 2025
ConsistentChat: Building Skeleton-Guided Consistent Dialogues for Large Language Models from Scratch.
CoRR, June, 2025
Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation.
CoRR, June, 2025
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models.
CoRR, March, 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch.
CoRR, February, 2025
CoRR, February, 2025
SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency.
CoRR, February, 2025
CoRR, February, 2025
CoRR, January, 2025
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.
CoRR, January, 2025
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
From Informal to Formal - Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering.
CoRR, 2024
CoRR, 2024
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic.
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
URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression.
CoRR, 2024
CoRR, 2024
Self-Retrieval: Building an Information Retrieval System with One Large Language Model.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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
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
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
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
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
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
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
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
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
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
2020
Neural Process. Lett., 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
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
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
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
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Neural Process. Lett., 2018
Frontiers Inf. Technol. Electron. Eng., 2018
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015