Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Alireza Salemi

Alireza Salemi

2 indexed papers

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

Publications per year

2
26

Top categories

Info Retrieval×2AI×2NLP×1ML×1

Frequent co-authors

Hamed Zamani2×
Md Zarif Ul Alam1×
Chang Zeng1×
Atharva Nijasure1×
Jui-Hui Chung1×
Razieh Rahimi1×

Research Timeline

2026
GrepSeek: Training Search Agents for Direct Corpus Interaction

GrepSeek introduces a novel direct corpus interaction (DCI) search agent that trains an LLM to find and compose evidence from large text corpora by issuing executable shell commands, achieving state-of-the-art performance on multiple QA benchmarks.

Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback

Critic-R introduces a novel framework that uses a critic model to provide natural language introspective feedback, significantly improving the performance of agentic search systems by optimizing retrievers without manual annotations.

Highlighted terms show continued research focus across papers

Papers

cs.IRcs.AIRecentMay 30, 2026

Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback

Md Zarif Ul Alam, Alireza Salemi, Hamed Zamani

Critic-R introduces a novel framework that uses a critic model to provide natural language introspective feedback, significantly improving the performance of agentic search systems by optimizing retri…

View →
cs.CLcs.AIcs.IRRecentMay 28, 2026

GrepSeek: Training Search Agents for Direct Corpus Interaction

Alireza Salemi, Chang Zeng, Atharva Nijasure, Jui-Hui Chung +3 more

GrepSeek introduces a novel direct corpus interaction (DCI) search agent that trains an LLM to find and compose evidence from large text corpora by issuing executable shell commands, achieving state-o…

View →