…Can Video Generation Models Dream Executable Robot Manipulation? Published on Jun 4 Submitted by Rui Zhao on Jun 5 Authors: , , , , , , , , Abstract Video generation models were evaluated through robotic manipulation tasks to assess…
…narratives, necessitating benchmarks that evaluate psychological trajectory alignment rather than static factual recall, with ArcANE demonstrating superior performance when character arc information is conditioned into models. Generated by Qwen/Qwen2.5-Coder…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct As video diffusion models (VDMs) advance toward world models , a key question arises: do they truly understand causality , or merely overfit to statistical temporal…
…principled evaluation. We systematically review text world models for LLM-based agents , organized around a formal framework and the agent lifecycle: (1) Foundations, defining text world models and characterizing them by state…
…Evaluating Multimodal Agent Memory Through Action-World Interaction Published on May 28 Submitted by taesiri on May 29 Authors: , , , , , , , , , , , , , , , , Abstract Multimodal large language models require sophisticated memory systems that can track evolving…
…framework that improves image edit evaluation by iteratively developing tools and skills from limited human demonstrations, achieving superior performance compared to existing models. AI-generated summary Evaluating instruction-guided image edits requires…
…This remains the most persistent weakness across all 17 evaluated models (including frontier models from Google, OpenAI, Anthropic, and the Qwen family). ⚖️ New Evaluation Paradigm: We decouple raw correctness from strict safety…
…Wei Pang , Xiangru Jian , , , , , Zhengyuan Dong , , , , , , Abstract TRL-Bench establishes a standardized benchmark for evaluating tabular representation learning models across multiple granularities, revealing that encoder performance varies by task type and requires…
…The following papers were recommended by the Semantic Scholar API MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models (2026) UniVLR: Unifying Text and Vision in Visual Latent Reasoning for…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Skills, i.e., structured workflow instructions distilled for large language models (LLMs), are becoming an increasingly important mechanism for improving agent performance on real…