Michael Shieh

According to our database1, Michael Shieh authored at least 10 papers in 2024.

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

Timeline

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Links

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Bibliography

2024
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures.
CoRR, 2024

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases.
CoRR, 2024

Self-Evaluation as a Defense Against Adversarial Attacks on LLMs.
CoRR, 2024

Single Character Perturbations Break LLM Alignment.
CoRR, 2024

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.
CoRR, 2024

Accelerating Greedy Coordinate Gradient via Probe Sampling.
CoRR, 2024

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reasoning Robustness of LLMs to Adversarial Typographical Errors.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompt Optimization via Adversarial In-Context Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

InstructCoder: Instruction Tuning Large Language Models for Code Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024


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