Bofei Gao

According to our database1, Bofei Gao authored at least 20 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis.
CoRR, August, 2025

Kimi K2: Open Agentic Intelligence.
CoRR, July, 2025

OJBench: A Competition Level Code Benchmark For Large Language Models.
CoRR, June, 2025

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.
CoRR, May, 2025

SCI-Reason: A Dataset with Chain-of-Thought Rationales for Complex Multimodal Reasoning in Academic Areas.
CoRR, April, 2025

Kimi k1.5: Scaling Reinforcement Learning with LLMs.
CoRR, January, 2025

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.
CoRR, January, 2025

Enhancing fine-grained geographic named entity recognition by Multi-scale Siamese Reconstruction Network.
Eng. Appl. Artif. Intell., 2025

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Language Models can Self-Lengthen to Generate Long Texts.
CoRR, 2024

Aligning CodeLLMs with Direct Preference Optimization.
CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.
CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.
CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.
CoRR, 2024

2023
Guiding AMR Parsing with Reverse Graph Linearization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Coarse-to-Fine Dual Encoders are Better Frame Identification Learners.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A Two-Stage Method for Chinese AMR Parsing.
CoRR, 2022


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