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Workshop
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Reward Collapse in Aligning Large Language Models: A Prompt-Aware Approach to Preference Rankings
Ziang Song · Tianle Cai · Jason Lee · Weijie Su
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Poster
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Wed 14:00
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Large Language Models Can Be Easily Distracted by Irrelevant Context
Haoyue Shi · Xinyun Chen · Kanishka Misra · Nathan Scales · David Dohan · Ed Chi · Nathanael Schärli · Denny Zhou
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Workshop
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Semi-supervised Tabular Classification via In-context Learning of Large Language Models
Jaehyun Nam · Woomin Song · Seong Hyeon Park · Jihoon Tack · Sukmin Yun · Jaehyung Kim · Jinwoo Shin
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Oral
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Wed 19:40
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Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati Aher · Rosa I. Arriaga · Adam Tauman Kalai
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Oral
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Wed 19:32
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Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Luke Vilnis · Yury Zemlyanskiy · Patrick Murray · Alexandre Passos · Sumit Sanghai
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Poster
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Wed 14:00
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Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Thomas Carta · Clément Romac · Thomas Wolf · sylvain lamprier · Olivier Sigaud · Pierre-Yves Oudeyer
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Workshop
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Title: Licensing Training Data and Attributing Copyright of Derivative Content From Large Language Models Can Resolve Up- and Downstream Copyright Issues; Author(s): Brian L Zhou, Lakshmi Sritan R Motati
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Workshop
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Large Language Models can Share Images, Too!
Young-Jun Lee · Jonghwan Hyeon · Ho-Jin Choi
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Workshop
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Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
Abulhair Saparov · Richard Yuanzhe Pang · Vishakh Padmakumar · Nitish Joshi · Seyed Mehran Kazemi · Najoung Kim · He He
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Workshop
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Generating Efficient Kernels for Quantized Inference on Large Language Models
Tommaso Pegolotti · Elias Frantar · Dan Alistarh · Markus Püschel
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Workshop
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Black Box Adversarial Prompting for Foundation Models
Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner
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Workshop
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AutoML-GPT: Large Language Model for AutoML
Yun Da Tsai · Yu-Che Tsai · Bo-Wei Huang · Chun-Pai Yang · Shou-De Lin
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