Fanqi Wan

According to our database1, Fanqi Wan authored at least 23 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding.
CoRR, July, 2025

QwenLong-CPRS: Towards ∞-LLMs with Dynamic Context Optimization.
CoRR, May, 2025

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning.
CoRR, May, 2025

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization.
CoRR, May, 2025

FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion.
CoRR, April, 2025

FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion.
CoRR, March, 2025

Weighted-Reward Preference Optimization for Implicit Model Fusion.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Advantage-Guided Distillation for Preference Alignment in Small Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BlockPruner: Fine-grained Pruning for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mutual-Taught for Co-adapting Policy and Reward Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
FuseChat: Knowledge Fusion of Chat Models.
CoRR, 2024

ProFuser: Progressive Fusion of Large Language Models.
CoRR, 2024

FuseChat: Knowledge Fusion of Chat Models.
CoRR, 2024

Mitigating Hallucinations of Large Language Models via Knowledge Consistent Alignment.
CoRR, 2024

Knowledge Fusion of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Verification to Nip Hallucination in the Bud.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Evolution Fine-Tuning for Policy Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Clustering-Aware Negative Sampling for Unsupervised Sentence Representation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023


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