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884 Results
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Workshop
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Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck · Shikha Surana · Manus McAuliffe · Oliver Bent · Tom Barrett · Juan Jose Garau-Luis · Paul Duckworth |
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Workshop
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Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting Fuqiang Liu · Sicong Jiang · Luis Miranda-Moreno · Seongjin Choi · Lijun Sun |
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Workshop
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Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences Niklas Schmidinger · Lisa Schneckenreiter · Philipp Seidl · Johannes Schimunek · Sohvi Luukkonen · Pieter-Jan Hoedt · Johannes Brandstetter · Andreas Mayr · Sepp Hochreiter · Günter Klambauer |
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Workshop
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FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models Yang Zhang · Yawei Li · Xinpeng Wang · Qianli Shen · Barbara Plank · Bernd Bischl · Mina Rezaei · Kenji Kawaguchi |
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Workshop
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Honesty to Subterfuge: In-Context Reinforcement Learning Can Make Honest Models Reward Hack Leo McKee-Reid · Joe Needham · Maria Martinez · Christoph Sträter · Mikita Balesni |
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Poster
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Wed 11:00 |
FinBen: A Holistic Financial Benchmark for Large Language Models Qianqian Xie · Weiguang Han · Zhengyu Chen · Ruoyu Xiang · Xiao Zhang · Yueru He · Mengxi Xiao · Dong Li · Yongfu Dai · Duanyu Feng · Yijing Xu · Haoqiang Kang · Ziyan Kuang · Chenhan Yuan · Kailai Yang · Zheheng Luo · Tianlin Zhang · Zhiwei Liu · GUOJUN XIONG · Zhiyang Deng · Yuechen Jiang · Zhiyuan Yao · Haohang Li · Yangyang Yu · Gang Hu · Huang Jiajia · Xiaoyang Liu · Alejandro Lopez-Lira · Benyou Wang · Yanzhao Lai · Hao Wang · Min Peng · Sophia Ananiadou · Jimin Huang |
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Poster
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Fri 16:30 |
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs Sukmin Yun · haokun lin · Rusiru Thushara · Mohammad Bhat · Yongxin Wang · zutao jiang · Mingkai Deng · Jinhong Wang · Tianhua Tao · Junbo Li · Haonan Li · Preslav Nakov · Timothy Baldwin · Zhengzhong Liu · Eric Xing · Xiaodan Liang · Zhiqiang Shen |
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Poster
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Wed 16:30 |
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data Eirini Angeloudi · Jeroen Audenaert · Micah Bowles · Benjamin M. Boyd · David Chemaly · Brian Cherinka · Ioana Ciucă · Miles Cranmer · Aaron Do · Matthew Grayling · Erin E. Hayes · Tom Hehir · Shirley Ho · Marc Huertas-Company · Kartheik Iyer · Maja Jablonska · Francois Lanusse · Henry Leung · Kaisey Mandel · Rafael Martínez-Galarza · Peter Melchior · Lucas Meyer · Liam Parker · Helen Qu · Jeff Shen · Michael Smith · Connor Stone · Mike Walmsley · John Wu |