…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Autonomous AI research agents aim to accelerate scientific discovery by automating the research pipeline, from hypothesis generation to peer review . However, existing benchmarks rarely…
…UniSD integrates complementary mechanisms that address supervision reliability, representation alignment, and training stability, including multi-teacher agreement , EMA teacher stabilization , token-level contrastive learning , feature matching , and divergence clipping . Across six benchmarks…
…Wiki-CoE , a large-scale dataset of structured web pages derived from 2WikiMultiHopQA, and SlideVQA , a challenging dataset of presentation slides featuring complex diagrams and free-form layouts. Experiments demonstrate that fine…
…Alongside the dataset, we propose the Cinematic Narrative Benchmark , featuring a visual-logic-driven paradigm and a novel Anti-Copy-Paste Variance (ACP-Var) metric to rigorously assess continuous storytelling and 3D…
…We study this performance gap through feature drift , the difference between features produced by the merged model and by the expert on the same input. Our theory decomposes this drift into upstream…
…While effective, these methods usually treat adaptation as a discrete Euclidean perturbation of frozen representations, without explicitly modeling the geometry of the task-induced feature displacement . We propose MC-RFM, a mixed…
…Secondly, we conduct controlled experiments showing that LLM performance and its internal feature activations vary under different language representation s of the same underlying task. Together, these findings highlight language representation design…
…Youssef Aboelwafa , , Abstract A multi-modal deep learning framework enhances low-light images by integrating depth cues, luminance priors, and semantic features through cross-attention fusion and adaptive gating mechanisms. AI-generated…
…By aggregating sparse feature overlaps across multiple document-side views, Xetrieval provides feature-level explanations of individual retrieval decisions . Experiments on diverse retrievers and benchmarks show that Xetrieval uncovers coherent interpretable features…
…Grounded in cognitive psychology , our design features carefully constructed tasks that isolate key aspects of memory . Leveraging M^3Eval, we conduct extensive experiments across representative multi-modal models , revealing consistent weaknesses and…