Papers arxiv:2606.07299 DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning Published on Jun 5 Submitted by Lingyong Yan on Jun 9 BAIDU Authors: Lingyong Yan , , , , , , , , , , , , , , , Abstract A multi-agent framework for deep research tasks t… …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct Deep research agents are Large Language Model LLM -based systems designed for autonomous, multi-step scientific reasoning , and they hold immense potential for accelerating research in the physical sciences. …
… 2026 ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research 2026 Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle 2026 MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI 2026 AI … …
… The following papers were recommended by the Semantic Scholar API Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation 2026 ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence 2026 MemEye: A Visual-Centric Evaluation Framework f… …
… Whereas olympiad-style problems measure step-by-step reasoning alone, research-level problems use such reasoning to advance the frontier of mathematical knowledge itself, emerging as a compelling alternative. …
… The following papers were recommended by the Semantic Scholar API Towards Long-horizon Agentic Multimodal Search 2026 MARDoc: A Memory-Aware Refinement Agent Framework for Multimodal Long Document QA 2026 SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning 2026 Towards Ver… …
… I made a podcast on it with ResearchPod, it makes it easy to get the key concepts on the go: https://researchpod.app/episode/ddea3616-9bb0-419f-af2f-cbdc37a43cc2 This is an automated message from the Librarian Bot . …
… The following papers were recommended by the Semantic Scholar API Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews 2026 Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies 2026 Beyond Output Correctness: Benchmarking and Evaluating Lar… …
… The following papers were recommended by the Semantic Scholar API DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent 2026 EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents 2026 Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verificatio… …
Papers arxiv:2606.15345 Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus Published on Jun 13 Submitted by Qingcheng Zeng on Jun 17 UTokyo Yokoya Lab Authors: , , , , , , , , Abstract Research agents face significant challenges when evidence is in… …