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CTGT wins Best Presentation Style award at VB Transform 2025
San Francisco-based CTGT, a startup focused on making AI more trustworthy through feature-level model customization...
Creativity in AI: Progresses and Challenges
arXiv:2410.17218v5 Announce Type: replace-cross Abstract: Creativity is the ability to produce novel, useful, and surprising...
Creating and Evaluating Code-Mixed Nepali-English and Telugu-English Datasets for Abusive Language Detection Using Traditional and Deep Learning Models
arXiv:2504.21026v1 Announce Type: new Abstract: With the growing presence of multilingual users on social media...
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
arXiv:2502.17214v2 Announce Type: replace Abstract: Large language models (LLMs) excel in many tasks but struggle...
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching
arXiv:2507.04099v2 Announce Type: replace Abstract: Fine-tuning methods such as Direct Preference Optimization (DPO) and Group...
Context Selection and Rewriting for Video-based Educational Question Generation
arXiv:2504.19406v2 Announce Type: replace Abstract: Educational question generation (EQG) is a crucial component of intelligent...
Computational Analysis of Character Development in Holocaust Testimonies
arXiv:2412.17063v3 Announce Type: replace Abstract: This work presents a computational approach to analyze character development...
Completing A Systematic Review in Hours instead of Months with Interactive AI Agents
arXiv:2504.14822v2 Announce Type: replace-cross Abstract: Systematic reviews (SRs) are vital for evidence-based practice in high...
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)...
