Qinyuan Cheng
According to our database1,
Qinyuan Cheng
authored at least 31 papers
between 2022 and 2025.
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Bibliography
2025
CoRR, July, 2025
XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs.
CoRR, June, 2025
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems.
CoRR, June, 2025
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning.
CoRR, May, 2025
AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models.
CoRR, February, 2025
Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Perceive the Passage of Time: A Systematic Evaluation of Large Language Model in Temporal Relativity.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
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
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning.
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
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Mach. Intell. Res., December, 2024
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.
CoRR, 2024
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation.
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance.
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
2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022