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Workshop
Paper 8: Generative Agent for Teacher Training: Designing Educational Problem-Solving Simulations with Large Language Model-based Agents for Pre-Service Teachers
Unggi Lee · Sanghyeok Lee · Junbo Koh · Yeil Jeong · Haewon Jung · Gyuri Byun · Yunseo Lee · Jewoong Moon · Jieun Lim · Hyeoncheol Kim
Workshop
SCIBENCH: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Xiaoxuan Wang · Ziniu Hu · Pan Lu · Yanqiao Zhu · Jieyu Zhang · Satyen Subramaniam · Arjun Loomba · Shichang Zhang · Yizhou Sun · Wei Wang
Workshop
Inferring Cardiovascular Biomarkers with Hybrid Model Learning
Ortal Senouf · Jens Behrmann · Joern-Henrik Jacobsen · Pascal Frossard · Emmanuel Abbe · Antoine Wehenkel
Workshop
AttentionStitch: How Attention Solves the Speech Editing Problem
Antonios Alexos · Pierre Baldi
Workshop
Zooming Optimistic Optimization Method to solve the Threshold Estimation Problem
Julien Audiffren
Poster
Thu 15:00 Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets
Dinghuai Zhang · Hanjun Dai · Nikolay Malkin · Aaron Courville · Yoshua Bengio · Ling Pan
Affinity Workshop
Mon 13:30 Contrasting Algorithmic and Machine Learning Approaches for Solving Dynamic Particle Motion Problems
Munenyashaishe Hove
Workshop
Solving Inverse Problems with Ambient Diffusion
Giannis Daras · Alex Dimakis
Workshop
Transformers Can Learn To Solve Linear-Inverse Problems In-Context
Kabir Ahuja · Madhur Panwar · Navin Goyal
Workshop
NLPBench: Evaluating Large Language Models on Solving NLP Problems
Linxin Song · Jieyu Zhang · Lechao Cheng · Pengyuan Zhou · Tianyi Zhou · Zihui Li
Workshop
Solving Noisy Inverse Problems via Posterior Sampling: A Policy Gradient View-Point
Haoyue Tang · Tian Xie · Aosong Feng · Hanyu Wang · Chenyang Zhang · Yang Bai
Workshop
Solving Math Word Problems by Combining Language Models With Symbolic Solvers
Joy He-Yueya · Gabriel Poesia · Rose Wang · Noah Goodman