论文精选 65已解读
Addressing critical global challenges, from food security and disaster risk to disease out…
领域:cs.AI作者:Evelyn Ma、Rama Kumar Pasumarthi、Kishwar Shafin
论文精选 65已解读
Collective intelligence can emerge when individuals coordinate through a shared environmen…
领域:cs.AI作者:Subhadeep Pal、Fiona Y. Wang、Markus J. Buehler
论文精选 75
Test-time scaling uses extra test-time compute to improve performance, such as letting lan…
领域:cs.CL作者:Niklas Muennighoff、Zhengyang Wang、Zeyi Chen
论文精选 81
Automatic Speech Recognition (ASR) technologies have achieved remarkable performance in re…
领域:cs.CL作者:Leonardo Duart、Tiago Fonseca、Thiago Chacón
论文精选 65已解读
Answer accuracy is an insufficient reliability signal for LLM data agents. In structured-d…
领域:cs.AI作者:Srimonti Dutta、Akshata Kishore Moharir
论文精选 83
When a speaker refers to a scene that the listener cannot directly see, the listener must …
领域:cs.CL作者:Ziming Liu、Bhanu Chaitanya Jasti、Ziyang Xu
论文精选 82
Multimodal instruction-following models require training data that is accurate, diverse, v…
领域:cs.CL作者:Min Zeng、Guanxin Tan、Libin Cen
论文精选 65已解读
An automated theorem prover builds a proof step by step, choosing at each point what to ad…
领域:cs.AI作者:Fredrik Rømming、Mantas Bakšys、Martin S. Fixman
论文精选 65已解读
Agentic LLM pipelines face escalating inference costs as context accumulates across retrie…
领域:cs.AI作者:Sheng Liang、Yongyue Zhang、Nathanael Brian
论文精选 82
Linguistic meaning is grounded in conceptual content, from which reference to particular e…
领域:cs.CL作者:Rui He、Nihal Altay、Wolfram Hinzen
论文精选 65已解读
Multi-agent large language model (LLM) workflows have emerged as a powerful paradigm for s…
领域:cs.AI作者:Somgyuan Li、Ahmed M. Abdelmoniem、Shiqiang Wang
论文精选 65已解读
Retrieval-augmented generation (RAG) is widely used to mitigate hallucination issues in la…
领域:cs.AI作者:Zongyu Wu、Yilong Wang、Xiaochen Wang
论文精选 65已解读
Understanding instruction-following capabilities in scientific domains is essential for ef…
领域:cs.AI作者:Ye Shen、Yuting Zheng、Dun Pei
论文精选 65已解读
Robust Markov Decision Processes (RMDPs) generalize classical MDPs by allowing uncertainty…
领域:cs.AI作者:Ali Asadi、Krishnendu Chatterjee、Ehsan Kafshdar Goharshady
论文精选 65已解读
Graph-based RAG improves multi-hop question answering by organizing evidence as a knowledg…
领域:cs.AI作者:Yuzhuo Cui、Zongye Zhang、Qingjie Liu
论文精选 65已解读
Multi-agent systems (MAS) sometimes already have the potential to answer correctly, but st…
领域:cs.AI作者:Jia-Hao Ji、Sijie Li、Jiabei Cheng
论文精选 65已解读
Automated fact-checking (AFC) systems retrieve evidence and predict claim veracity, yet ev…
领域:cs.AI作者:Aida Usmanova、Zangir Iklassov、Markus Leippold
论文精选 65
Air traffic control procedures are executed through spoken exchanges between controllers a…
领域:cs.AI作者:Roberto Luvini、Giacomo Longo、Alessandro Armando
论文精选 82
As large language model (LLM)-based multi-agent systems (MASs) are increasingly applied to…
领域:cs.AI作者:Zhongwen Luan、Xiaoyu Zhang、Ming Hu
论文精选 81
Game-theoretic models provide principled frameworks for modeling vehicle interactions, but…
领域:cs.AI作者:Yueyuan Li、Rongcheng Nie、Weijie Xi
论文精选 83
Modern GUI-agent frameworks achieve strong desktop task performance with frontier API mode…
领域:cs.AI作者:Weiming Li、Helen Paik、Yulei Sui
论文精选 82
Large Language Models (LLMs) exhibit strong problem-solving abilities, positioning them as…
领域:cs.AI作者:Feng Ling、Heng Yu
论文精选 85
Large language models (LLMs) excel at programming, but not when the task fixes the target …
领域:cs.AI作者:Tilman Hinnerichs、Sebastijan Dumancic、Neil Yorke-Smith
论文精选 85
Organisations deploying AI face a scoping problem: which tasks can be automated, which sho…
领域:cs.AI作者:Jonathan Prunty、Marko Tešić、Patrick Quinn
论文精选 82
A common strategy for scaling world models is to train on more crawled video with more com…
领域:cs.AI作者:Pengfei Zhou、Hexin Wang、Zhengfeiyang Zhang