7 citations · 11 across the 5 of their papers we have counts for
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cs.LG2026
KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction
Naman Garg, Sarika Jain, Sourav Yadav +4
While WGS-based AMR prediction has reached high accuracy, existing models lack a mechanism to ground neural attributions in established biological pathways. We present KG-TRACE, a…
cs.LG2024★ 3 cited
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Yuxiao Qu, Tianjun Zhang, Naman Garg +1
A central piece in enabling intelligent agentic behavior in foundation models is to make them capable of introspecting upon their behavior, reasoning, and correcting their mistakes…
cs.LG2024★ 1 cited
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
Amrith Setlur, Saurabh Garg, Xinyang Geng +3
Training on model-generated synthetic data is a promising approach for finetuning LLMs, but it remains unclear when it helps or hurts. In this paper, we investigate this question f…