Papers
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos Kanatsoulis, Evelyn Choi, Stefanie Jegelka et al.
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
Baiting Luo, Ava Pettet, Aron Laszka et al.
Towards Learning High-Precision Least Squares Algorithms with Sequence Models
Jerry Weihong Liu, Jessica Grogan, Owen M Dugan et al.
Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct
Christopher Ackerman, Nina Panickssery
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
Shijie Chen, Bernal Jimenez Gutierrez, Yu Su
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Ziyao Shangguan, Chuhan Li, Yuxuan Ding et al.
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey et al.
Time-to-Event Pretraining for 3D Medical Imaging
Zepeng Frazier Huo, Jason Alan Fries, Alejandro Lozano et al.
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
Xiaoyu Zhang, Juan Zhai, Shiqing Ma et al.
Plastic Learning with Deep Fourier Features
Alex Lewandowski, Dale Schuurmans, Marlos C. Machado
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data
Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez et al.
Agent-Oriented Planning in Multi-Agent Systems
Ao Li, Yuexiang Xie, Songze Li et al.
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
Tian Ye, Zicheng Xu, Yuanzhi Li et al.
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
Song Wang, Junhong Lin, Xiaojie Guo et al.
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
Tian Ye, Zicheng Xu, Yuanzhi Li et al.
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar et al.
Optimizing Neural Network Representations of Boolean Networks
Joshua Russell, Ignacio Gavier, Devdhar Patel et al.
Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
Runjia Li, Qiwei Di, Quanquan Gu
On Calibration of LLM-based Guard Models for Reliable Content Moderation
Hongfu Liu, Hengguan Huang, Xiangming Gu et al.
Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
Zeyuan Allen-Zhu, Yuanzhi Li
Logic-Logit: A Logic-Based Approach to Choice Modeling
Shuhan Zhang, Wendi Ren, Shuang Li
Physics of Language Models: Part 3.2, Knowledge Manipulation
Zeyuan Allen-Zhu, Yuanzhi Li
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel, Hava T Siegelmann
Towards Federated RLHF with Aggregated Client Preference for LLMs
Feijie Wu, Xiaoze Liu, Haoyu Wang et al.
MADGEN: Mass-Spec attends to De Novo Molecular generation
Yinkai Wang, Xiaohui Chen, Liping Liu et al.