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Home/Authors/Kavosh Asadi

Kavosh Asadi

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

Info Retrieval×1ML×1AI×1

Frequent co-authors

Zhe Xu1×
Prachi Agrawal1×
Tianyi Chen1×
Carl Hu1×
Justin Johnson1×
Wuwei Lan1×

Research Timeline

2026
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information

The paper introduces Off-Context GRPO, a method for reinforcement learning with verifiable rewards that uses guided rollouts and importance-corrected objectives to improve reasoning in large language models.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers

This paper adapts Large Language Models as semantic representation backbones in a two-tower retrieval architecture for high-throughput, large-scale recommendation systems.

Highlighted terms show continued research focus across papers

Papers

cs.IRNEWEmpiricalJul 28, 2026

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers

Zhe Xu, Prachi Agrawal, Kavosh Asadi, Tianyi Chen +16 more

This paper adapts Large Language Models as semantic representation backbones in a two-tower retrieval architecture for high-throughput, large-scale recommendation systems.

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cs.LGcs.AI
Empirical
Recent
Jul 21, 2026

Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information

Priyank Agrawal, Ankur Samanta, Shervin Ghasemlou, Jalaj Bhandari +3 more

The paper introduces Off-Context GRPO, a method for reinforcement learning with verifiable rewards that uses guided rollouts and importance-corrected objectives to improve reasoning in large language…

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