Ankit Goyal

2 papers indexed

arxivcs.CLcs.AI2026-07-22

From Agent Failures to Text Policies: What Works and What Breaks

TextGrad improves language-model systems by revising text from feedback. Its core thesis is that natural-language feedback can act as a gradient for optimizing text components without changing model weights. Applying it to agents is harder because feedback arrives only after a se…

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arxivcs.SEcs.AI2026-07-15

Structured Feedback Improves Repair in an LLM Agent Loop

Jaideep Ray, Ankit Goyal

LLM agents often retry after external validation rejects a candidate, but the interface between validation and the next model call remains underspecified. We introduce VeriHarness, a code-controlled agent loop in which models generate candidates while external validators control…

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