ニュース
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...
Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement Learning
arXiv:2511.02755v1 Announce Type: new Abstract: Large language models (LLMs) exhibit complementary strengths across domains and...
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...
Context Parametrization with Compositional Adapters
arXiv:2509.22158v1 Announce Type: new Abstract: Large language models (LLMs) often seamlessly adapt to new tasks...
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...
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
arXiv:2508.03686v1 Announce Type: new Abstract: Answer verification is crucial not only for evaluating large language...
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...
Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
arXiv:2507.13335v2 Announce Type: replace Abstract: Humour, as a complex language form, is derived from myriad...
Combining Evidence and Reasoning for Biomedical Fact-Checking
arXiv:2509.13879v1 Announce Type: new Abstract: Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses...
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...
