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T-Search: An Open Agentic Retriever and Playground for Hard Multi-Step Search

Paper recorded by Signals 4 on 2026-10-05 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-05 on arXiv · recorded by Signals 4 on 2026-10-06

Category: cs.CL · 自然语言处理 · first seen 2026-10-06

Abstract

We present T-Search, an open-weight agentic retriever for hard multi-step search. Given a question and a search tool over a fixed corpus, it runs a bounded multi-round search and returns a ranked list of evidence chunks with short justifications, leaving answer generation to a downstream model, so backend and generator can be swapped without retraining. T-Search is built on Qwen3.6-35B-A3B and tra

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#321 most recent of 660 cs.CL papers we have recorded · ↑ newer: PlotGround: Grounding Plot Digitization in Real Scientific Figures and · ↓ older: ufakzeka-karar: An Open Turkish Typed-Decision Model with Order-Invari
Cite this page: T-Search: An Open Agentic Retriever and Playground for Hard Multi-Step Search: the #321 most recent of 660 cs.CL papers we have recorded (as of 2026-10-05). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/t-search-an-open-agentic-retriever-and-playground-for-hard-multi-step-search.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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