Feiteng Fang

Orcid: 0009-0002-2971-9572

According to our database1, Feiteng Fang authored at least 18 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

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Bibliography

2025
CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy Optimization.
CoRR, August, 2025

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation.
CoRR, June, 2025

ChARM: Character-based Act-adaptive Reward Modeling for Advanced Role-Playing Language Agents.
CoRR, May, 2025

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

LIME: Less Is More for MLLM Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reverse Preference Optimization for Complex Instruction Following.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can MLLMs Understand the Deep Implication Behind Chinese Images?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Can MLLMs Understand the Deep Implication Behind Chinese Images?
CoRR, 2024

LIME: Less Is More for MLLM Evaluation.
CoRR, 2024

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused.
CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023


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