…Benchmarking General Large Language Models for Genome Sequence Understanding (2026) VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering (2026) Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in…
…A Benchmark for Real-World, Long-Horizon Agent Evaluation Published on May 11 Submitted by Shuangrui Ding on May 15 Intern Large Models Authors: , Xuanlang Dai , , , , Yang JingYi , , , , , , , , , , , Yuhang Zang Abstract WildClawBench…
…Fei Bai , , Shuang Sun , Daixuan Cheng , , , Renyuan Li , , , , , , Abstract ClawGym presents a scalable framework for developing Claw-style personal agents with synthetic training data, verified workspaces, and benchmark evaluation. AI-generated summary…
…Process-aware Reasoning Verification uses structured QA and reasoning-phase diagnostics to detect temporal and causal failures , while Multi-dimensional Quality Assessment scores reasoning quality , temporal consistency , and visual aesthetics for ranking…
…A Verifiable Evaluation Suite for Deep Research Agents (2026) RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora (2026) ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight…
…Learning Policies by Repairing Executable Knowledge Bases (2026) An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning (2026) EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations (2026) AutoPyVerifier: Learning…
…Existing medical agent benchmarks primarily focus on static knowledge recall, single-step atomic actions, or action intent without verifiable execution against the environment. As a result, they fail to capture the long…
…While previous scientific claim verification datasets have been limited in size and scope, NSF-SciFy represents a significant advance with 2.8 million claims from 400,000 abstracts spanning all science and…
…SCOPE conditionally invokes retrieval, reasoning, and repair skills around unresolved or violated commitments, while verification maps failures back to the same operational units. We further introduce Gen-Arena, a human-annotated benchmark…
Papers arxiv:2605.15012 Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance Published on May 14 Submitted by Kai Yan on May 15 University of Illinois at Urbana…