arXiv:2505.12576v2 Announce Type: replace-cross Abstract: A key factor in effective Self-Supervised learning (SSL) is preventing dimensional collapse, where higher-dimensional representation spaces ($R$) span a lower-dimensional subspace. Therefore, SSL optimization strategies involve guiding a model to produce $R$ with a higher…
arXiv:2505.21988v2 Announce Type: replace Abstract: Subgraph matching in logic circuits is foundational for numerous Electronic Design Automation (EDA) applications, including datapath optimization, arithmetic verification, and hardware trojan detection. However, existing techniques rely primarily on structural graph isomorphism and thus fail…
arXiv:2404.12353v3 Announce Type: replace-cross Abstract: Video summarization aims to create short, accurate, and cohesive summaries of longer videos. Despite the existence of various video summarization datasets, a notable limitation is their limited amount of source videos, which hampers the effective…
arXiv:2510.07105v1 Announce Type: cross Abstract: Many natural language processing (NLP) tasks involve subjectivity, ambiguity, or legitimate disagreement between annotators. In this paper, we outline our system for modeling human variation. Our system leverages language models’ (LLMs) in-context learning abilities, along…
arXiv:2510.07284v1 Announce Type: cross Abstract: Rubrics provide a flexible way to train LLMs on open-ended long-form answers where verifiable rewards are not applicable and human preferences provide coarse signals. Prior work shows that reinforcement learning with rubric-based rewards leads to…
arXiv:2510.06475v1 Announce Type: new Abstract: This work investigates the reasoning and planning capabilities of foundation models and their scalability in complex, dynamic environments. We introduce PuzzlePlex, a benchmark designed to assess these capabilities through a diverse set of puzzles. PuzzlePlex…
arXiv:2510.06410v1 Announce Type: new Abstract: Reasoning LLMs are trained to verbalize their reasoning process, yielding strong gains on complex tasks. This transparency also opens a promising direction: multiple reasoners can directly collaborate on each other’s thinking within a shared trajectory,…
arXiv:2510.06433v1 Announce Type: new Abstract: The focus on “food as medicine” is gaining traction in the field of health and several studies conducted in the past few years discussed this aspect of food in the literature. However, very little research…
arXiv:2510.06307v1 Announce Type: new Abstract: A multi-agent system (MAS) enhances its capacity to solve complex natural language processing (NLP) tasks through collaboration among multiple agents, where consensus-seeking serves as a fundamental mechanism. However, existing consensus-seeking approaches typically rely on voting…
arXiv:2510.06302v1 Announce Type: new Abstract: Post-merger integration states unique challenges for professionals responsible for information system integration aimed on alignment and combination diverse system architectures of merging organizations. Although the theoretical and practical guidance exists for post-merger integration on the…
