…C/C++ We’ve added flow source models for scanf_s and related functions. Query changes GitHub Actions We’ve adjusted actions/untrusted-checkout/critical so alerts now appear at the checkout…
…Autoregressive Diffusion Planning for Intent-Grounded Video-to-Music Generation (2026) Identity as Presence: Towards Appearance and Voice Personalized Joint Audio-Video Generation (2026) Please give a thumbs up to this comment…
…Critically, ElementsClaw achieves a high success rate in identifying superconductors hidden in literature and discovers four novel experimentally verified superconductors , exemplified by Zr3ScRe8 with a transition temperature of 6.8 K and…
…We aim to keep the research community informed of the latest advancements in conversational user simulation and to further facilitate future research by identifying open challenges and organizing existing work under a…
…We further evaluate whether models can identify which additional viewpoints would resolve perspective ambiguity . Our results across a diverse set of frontier open- and closed-source VLMs reveal two consistent failure modes…
…This includes loyalty card swipes, public records, social media posts, and everything online that can be used to build a profile around your identity. Then they assemble detailed profiles and auction them…
…Ziyan Liu , , Yuzhe Gu , , , , , , Wenwei Zhang , Abstract ThoughtFold addresses over-thinking in large reasoning models by using fine-grained preference learning to identify and eliminate redundant explorations in chain-of-thought reasoning…
…Token-level supervised fine-tuning (SFT) and point-wise regression rewards bias learning toward high-density regions, leading to regression-to-the-mean behavior and poor tail performance. We identify the lack…
…Rather than encoding literal identities, NRI represents literals using domain-agnostic statistical properties such as class-conditional rates, entropy, and co-occurrence, which generalize across variable identities and counts without retraining. The…
…Uzunoğlu on Jun 9 Center for Language and Speech Processing @ JHU Authors: Arda Uzunoglu , , Abstract Trust functions enable effective weak-to-strong generalization by identifying reliable weak labels for training, achieving performance…