Aneesh Pappu

2 accepted papers

2026

Multi-Agent Teams Hold Experts Back

Aneesh Pappu, Batu El, Hancheng Cao, Carmelo di Nolfo, Yanchao Sun, Meng Cao +1

ICML 2026poster

Multi-agent LLM systems are increasingly deployed as autonomous collaborators, where agents interact freely rather than execute fixed, pre-specified workflows. In such settings, effective coordination cannot be fully designed in advance and must instead emerge through interaction. However, most prio…

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2025

Measuring memorization in RLHF for code completion

Jamie Hayes, Ilia Shumailov, William P. Porter, Aneesh Pappu

ICLR 2025poster

Reinforcement learning with human feedback (RLHF) has become the dominant method to align large models to user preferences. Unlike fine-tuning, for which there are many studies regarding training data memorization, it is not clear how memorization is affected by or introduced in the RLHF alignment p…

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