Papers
AssistanceZero: Scalably Solving Assistance Games
Cassidy Laidlaw, Eli Bronstein, Timothy Guo et al.
Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
Zhuo Liu, Moxin Li, Xun Deng et al.
AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
An Luo, Xun Xian, Jin Du et al.
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity
Yifan Liu, Wenkuan Zhao, Shanshan Zhong et al.
Association Pattern-enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu et al.
Associative memory and dead neurons
Vladimir Fanaskov, Ivan Oseledets
Associative Transformer
Yuwei Sun, Hideya Ochiai, Zhirong Wu et al.
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Maria Symeonaki et al.
Assumption-lean and data-adaptive post-prediction inference
Jiacheng Miao, Xinran Miao, Yixuan Wu et al.
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models
Bowen Chen, Namgi Han, Yusuke Miyao
A Statistical Approach for Controlled Training Data Detection
Zirui Hu, Yingjie Wang, Zheng Zhang et al.
A Statistical Framework for Ranking LLM-based Chatbots
Siavash Ameli, Siyuan Zhuang, Ion Stoica et al.
A statistical perspective on algorithm unrolling models for inverse problems
Yves Atchade, Xinru Liu, Qiuyun Zhu
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
Wangbo Zhao, Yizeng Han, Jiasheng Tang et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales
A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat et al.
ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts
Amelia Hardy, Houjun Liu, Allie Griffith et al.
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
Prakash Chandra Chhipa, Gautam Vashishtha, Settur Jithamanyu et al.
ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization
Deuksin Kwon, Jiwon Hae, Emma Clift et al.
Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following
Yueen Ma, DaFeng Chi, Shiguang Wu et al.
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis
Xin Gao, Qizhi Pei, Zinan Tang et al.
AsTree: An Audio Subscription Architecture Enabling Massive-Scale Multi-Party Conferencing
Tong Meng, Wenfeng Li, Chao Yuan et al.
ASTRID - An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems
Yajie Vera He, Mohita Chowdhury, Jared Joselowitz et al.
ASTRID: A Robotic Tutor for Nurse Training to Reduce Healthcare-Associated Infections
Peizhu Qian, Filip Bajraktari, Carlos Quintero-Pena et al.
ASTRO: Automatic Strategy Optimization For Non-Cooperative Dialogues
Yikuan Hu, Chen Huang, Wenqiang Lei