Chengqi Lyu

According to our database1, Chengqi Lyu authored at least 21 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
OpenCompass: A Universal Evaluation Platform for Large Language Models.
CoRR, May, 2026

2025
Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving.
CoRR, December, 2025

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.
CoRR, August, 2025

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling.
CoRR, August, 2025

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner.
CoRR, July, 2025

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning.
CoRR, February, 2025

Pre-Trained Policy Discriminators are General Reward Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Training Language Models to Critique With Multi-agent Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Fake Alignment: Are LLMs Really Aligned Well?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ANAH: Analytical Annotation of Hallucinations in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
MultiModal-GPT: A Vision and Language Model for Dialogue with Humans.
CoRR, 2023

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose.
CoRR, 2023

Dense Distinct Query for End-to-End Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
RTMDet: An Empirical Study of Designing Real-Time Object Detectors.
CoRR, 2022

Consistent Targets Provide Better Supervision in Semi-supervised Object Detection.
CoRR, 2022

MMRotate: A Rotated Object Detection Benchmark using PyTorch.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022


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