Caishuang Huang

According to our database1, Caishuang Huang authored at least 14 papers in 2024.

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Bibliography

2024
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.
CoRR, 2024

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance.
CoRR, 2024

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.
CoRR, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.
CoRR, 2024

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.
CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR, 2024

MouSi: Poly-Visual-Expert Vision-Language Models.
CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR, 2024

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
CoRR, 2024

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024


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