Qi Shi

Affiliations:
  • Harbin Institute of Technology, Harbin, China


According to our database1, Qi Shi authored at least 22 papers between 2020 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

On csauthors.net:

Bibliography

2025
AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs.
CoRR, July, 2025

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization.
CoRR, June, 2025

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation.
CoRR, May, 2025

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage.
CoRR, May, 2025

HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization.
CoRR, February, 2025

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators.
CoRR, February, 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.
CoRR, January, 2025

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Tabular reasoning via two-stage knowledge injection.
Int. J. Mach. Learn. Cybern., July, 2024

Robust and resource-efficient table-based fact verification through multi-aspect adversarial contrastive learning.
Inf. Process. Manag., 2024

LLM⨉MapReduce: Simplified Long-Sequence Processing using Large Language Models.
CoRR, 2024

Exploring Hybrid Question Answering via Program-based Prompting.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.
CoRR, 2022

JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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