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cs.CL2026

DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment

Xinyu Geng, Xuanhua He, Sixiang Chen +7

Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning relies on fixed teacher-distilled trajectories, while sparse-reward rei…

cs.CL2026

GeoBrowse: A Geolocation Benchmark for Agentic Tool Use with Expert-Annotated Reasoning Traces

Xinyu Geng, Yanjing Xiao, Yuyang Zhang +5

Deep research agents integrate fragmented evidence through multi-step tool use. BrowseComp offers a text-only testbed for such agents, but existing multimodal benchmarks rarely req…

cs.CL2026

Efficient Multimodal Planning Agent for Visual Question-Answering

Zhuo Chen, Xinyu Geng, Xinyu Wang +4

Visual Question-Answering (VQA) is a challenging multimodal task that requires integrating visual and textual information to generate accurate responses. While multimodal Retrieval…

cs.CL2025

Tongyi DeepResearch Technical Report

Tongyi DeepResearch Team, Baixuan Li, Bo Zhang +54

We present Tongyi DeepResearch, an agentic large language model, which is specifically designed for long-horizon, deep information-seeking research tasks. To incentivize autonomous…

cs.CL2025

Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference

Zhuo Chen, Xinyu Wang, Yong Jiang +5

Despite the advancements made in Vision Large Language Models (VLLMs), like text Large Language Models (LLMs), they have limitations in addressing questions that require real-time…