6 citations · 8 across the 10 of their papers we have counts for
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cs.CL2026
Building Customer Support AI Agents at 100M-User Scale: An Evaluation-Driven Framework
Aman Gupta, Kevin Rossell, Edesio Alcobaça +8
The rapid rise in LLM capabilities has made AI agents increasingly viable across a broad range of tasks. Among the most promising applications is building production-ready customer…
cs.CL2025
On the Robustness of Reward Models for Language Model Alignment
Jiwoo Hong, Noah Lee, Eunki Kim +5
The Bradley-Terry (BT) model is widely practiced in reward modeling for reinforcement learning with human feedback (RLHF). Despite its effectiveness, reward models (RMs) trained wi…
cs.CL2025★ 1 cited
AlphaPO: Reward Shape Matters for LLM Alignment
Aman Gupta, Shao Tang, Qingquan Song +10
Reinforcement Learning with Human Feedback (RLHF) and its variants have made huge strides toward the effective alignment of large language models (LLMs) to follow instructions and…