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Poster
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Wed 8:45
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Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
Michael Scherbela · Leon Gerard · Philipp Grohs
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Workshop
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Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao · John Dang · Aditya Grover
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Poster
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Tue 15:15
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Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Yongrui Chen · Shenyu Zhang · Guilin Qi · Xinnan Guo
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Poster
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Wed 15:00
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Fast Trainable Projection for Robust Fine-tuning
Junjiao Tian · Yen-Cheng Liu · James S Smith · Zsolt Kira
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Poster
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Tue 15:15
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Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Beier Zhu · Kaihua Tang · QIANRU SUN · Hanwang Zhang
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Workshop
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Local LoRA: Memory-Efficient Fine-Tuning of Large Language Models
Oscar Key · Jean Kaddour · Pasquale Minervini
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Workshop
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Local LoRA: Memory-Efficient Fine-Tuning of Large Language Models
Oscar Key · Jean Kaddour · Pasquale Minervini
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Workshop
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Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition
Abdul Hameed Azeemi · Ihsan Ayyub Qazi · Agha Ali Raza
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Workshop
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Sparse Fine-Tuning for Inference Acceleration of Large Language Models
Eldar Kurtic · Denis Kuznedelev · Elias Frantar · Michael Goin · Dan Alistarh
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Workshop
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Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features
Diogo Cruz · Edoardo Pona · Alex Holness-Tofts · Elias Schmied · Víctor Abia Alonso · Charlie J Griffin · Bogdan-Ionut Cirstea
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Poster
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Tue 15:15
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Preference-grounded Token-level Guidance for Language Model Fine-tuning
Shentao Yang · Shujian Zhang · Congying Xia · Yihao Feng · Caiming Xiong · Mingyuan Zhou
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Workshop
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Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Yihan Wang · Si Si · Daliang Li · MICHAL LUKASIK · Felix Yu · Cho-Jui Hsieh · Inderjit Dhillon · Sanjiv Kumar
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