…View arXiv page View PDF GitHub 7 Add to collection Community Agentic search enables LLMs to solve complex multi-hop questions through iterative reasoning and external search. Despite the effectiveness, these systems…
…Ashwin Vinod , , Abstract Calibrated verifier telemetry enhances LLM agents in knowledge-intensive question answering by providing confidence scores and grounding verification, reducing both over-retrieval and unsupported answers. Generated by Qwen/Qwen2…
…Our core metric, Ask-F1 , the harmonic mean of question precision and blocker recall , captures the tension between over-asking and silent guessing; its structure architecturally prevents gaming through question spam. Evaluation…
…per token, per question, and per teacher. We derive an ideal per-node gradient defined as the parameter update that maximally increases the student's probability of success. We then develop a…
…View arXiv page View PDF Project page Add to collection Community If you have any question about the paper, please contact yuholee@kaist.ac.kr This is an interesting take on VideoRAG…
…retrieved memories condition an evolver as direct concatenated context or as guided evidence, producing skill-bank updates that help future questions. Across 4 video-QA benchmarks with 2 VLMs, VisualClaw cuts per…
…Existing long-term memory benchmarks mainly evaluate language-centric retrieval and question answering, while embodied benchmarks often focus on short-horizon task execution without testing long-term memory use in dynamic environments…
…after a model answers a multiple-choice question correctly, we challenge the model's answer with a coherent argument for an incorrect option and measure whether the model flips. The setup a…
…View arXiv page View PDF Project page Add to collection Community Why Agent Skills Are a Different Security Problem Most security tooling starts with a familiar question: does this artifact contain malware…
…View arXiv page View PDF Project page GitHub 36 Add to collection Community As video diffusion models (VDMs) advance toward world models, a key question arises: do they truly understand causality, or…