Pengyu Wang

Affiliations:
  • Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan, China


According to our database1, Pengyu Wang authored at least 21 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Case2Code: Scalable Synthetic Data for Code Generation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models.
CoRR, 2024

LongSafetyBench: Long-Context LLMs Struggle with Safety Issues.
CoRR, 2024

BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments.
CoRR, 2024

Case2Code: Learning Inductive Reasoning with Synthetic Data.
CoRR, 2024

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.
CoRR, 2024

SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems.
CoRR, 2024

SpeechAlign: Aligning Speech Generation to Human Preferences.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS.
CoRR, 2023

Origin Tracing and Detecting of LLMs.
CoRR, 2023

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SeqXGPT: Sentence-Level AI-Generated Text Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PerturbScore: Connecting Discrete and Continuous Perturbations in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Watermarking LLMs with Weight Quantization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023


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