Actualités
Comparison of different Unique hard attention transformer models by the formal languages they can recognize
arXiv:2506.03370v1 Announce Type: cross Abstract: This note is a survey of various results on the...
Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms
arXiv:2503.10968v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown notable potential in code...
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
arXiv:2307.02075v4 Announce Type: replace-cross Abstract: Entity alignment (EA) aims at identifying equivalent entity pairs across...
CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language Model
arXiv:2502.11169v2 Announce Type: replace Abstract: This paper introduces the Constrained Monte Carlo Tree Search (CMCTS)...
Cloud quantum computing: A trillion-dollar opportunity with dangerous hidden risks
GUEST: Quantum computing (QC) brings with it a mix of groundbreaking possibilities and significant risks...
CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation
arXiv:2506.21805v1 Announce Type: cross Abstract: Modeling human behavior in urban environments is fundamental for social...
CHEER-Ekman: Fine-grained Embodied Emotion Classification
arXiv:2506.01047v1 Announce Type: new Abstract: Emotions manifest through physical experiences and bodily reactions, yet identifying...
Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design
TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo...
Catio wins ‘coolest tech’ award at VB Transform 2025
Catio also announced the upcoming launch of Archie, a conversational, multi-agent AI system.Read More...
Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling
arXiv:2506.11072v1 Announce Type: cross Abstract: Machine learning-based behavioral models rely on features extracted from audio-visual...
Can We Improve Llama 3’s Reasoning Through Post-Training Alone? ASTRO Shows +16% to +20% Benchmark Gains
Improving the reasoning capabilities of large language models (LLMs) without architectural changes is a core...
Can Vision Language Models Infer Human Gaze Direction? A Controlled Study
arXiv:2506.05412v1 Announce Type: cross Abstract: Gaze-referential inference–the ability to infer what others are looking at–is...
