…to collection Community We are surrounded by various objects with movable, articulated parts, e.g., box, handle, door. An accurate and generalizable perception of articulated parts is essential to enhance robotic manipulation…
…While such capabilities enhance utility, they also expose a new attack surface for attackers. Attackers can embed a prompt injection within a file or tool output. Agents may read this hidden instruction…
…segmentation , image enhancement , visual question answering (VQA), report generation , and lesion detection . Each task is evaluated under two difficulty tiers, Lite and Standard, which use the same data and metrics but differ…
…These improvements substantially enhance the practicality of deploying Video-LLMs in real-world production scenarios. View arXiv page View PDF Project page GitHub 23 Add to collection Community Video large language models…
…View arXiv page View PDF Project page GitHub 71 Add to collection Community SwiftVR is a one-step generative video restoration framework designed for real-time streaming. While recent one-step diffusion…
…To further enhance token efficiency, we optimize capability per output token through Evolutionary Chain-of-Thought , Linguistic Unit Policy Optimization , bidirectional preference alignment , and shortest-correct-response distillation . For agentic capabilities, we…
…Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration Published on May 8 Submitted by Zhen Wang on May 12 University of California at San Diego Authors: , , Zhen Wang , , , , , , , , Abstract FlashEvolve enhances LLM…
…Zeyu Huang , , , , , , Abstract Context optimization methods enhanced with active information seeking via search and browser tools achieve superior performance across diverse domains while maintaining data efficiency and robustness. AI-generated summary Most…
…View arXiv page View PDF Project page GitHub 10.2k Add to collection Community This is an automated message from the Librarian Bot . I found the following papers similar to this paper…
…View arXiv page View PDF Add to collection Community Humans live in a continuous world, yet think in discrete language. LLMs live in a tokenized world, yet think in continuous representations. So…
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