…Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models (2026) Comparative Analysis of Large Language Models in Healthcare (2026) Please give a thumbs up to this comment if you…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Frontier model evaluations are shifting from foundational capabilities (e.g., instruction following and reasoning) toward compositional, agentic ones, but Korean agentic benchmarks remain scarce…
…Each submitted trial carries a hypothesis, an executable code edit, an evaluator-owned outcome , and feedback that shapes the next proposal. The output is not a generated paper or a single model…
…Furthermore, we pioneer the conceptualization of multi-modal large language models (MLLMs) as naive multiplexers, systematically evaluating their performance through the lens of Signal Multiplexing Theory . Our extensive online inference experiments reveal…
…research remains constrained by infrastructure and training gaps. Many high-performing systems rely on proprietary codebases, models, or services, while most open-source frameworks focus on orchestration and evaluation rather than scalable…
…Toward Rigorous Evaluation of Continual Learning in Language Agents Published on Jun 2 Submitted by Yiheng Shu on Jun 3 OSU NLP Group Authors: , , , , , Abstract A comprehensive evaluation framework for continual learning…
…benchmark evaluates agent performance on personalized tools interacting with individual accounts and local databases, revealing significant challenges in current SOTA agents. Generated by Qwen/Qwen2.5-Coder-32B-Instruct The Model Context…
…Can Frontier Models Judge Beauty? Published on May 12 Submitted by taesiri on May 14 Authors: Yichen Feng , , , , , , Hang Hua , , , , , , , , , , Abstract Current multimodal models struggle to match human expert aesthetic judgment in…
…Across frontier model-runtime pairings, the best PassRate reaches only 41.2%, showing the benchmark remains far from saturated. The trajectory-aware judge further reveals that outcome-only grading substantially overestimates agent…
…question answering benchmark derived from governmental documents, to evaluate vision-language models' ability to understand complex visual data beyond English-language datasets. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Understanding chart…