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29 Results
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Poster
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Tue 17:00 |
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time Zichang Liu · Jue Wang · Tri Dao · Tianyi Zhou · Binhang Yuan · Zhao Song · Anshumali Shrivastava · Ce Zhang · Yuandong Tian · Christopher Re · Beidi Chen |
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Workshop
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Training LLMs with Noisy Algorithmic Chain of Thought Alex Havrilla |
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Workshop
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Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian Ma · Yitao Liang |
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Workshop
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Can LLMs Generate Random Numbers? Evaluating LLM Sampling in Controlled Domains Aspen Hopkins · Alex Renda · Michael Carbin |
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Workshop
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Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data Alycia Lee · Brando Miranda · Brando Miranda · Sanmi Koyejo |
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Workshop
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Fri 18:15 |
Panel on Reasoning Capabilities of LLMs Guy Van den Broeck · Ishita Dasgupta · Subbarao Kambhampati · Jiajun Wu · Xi Victoria Lin · Samy Bengio · Beliz Gunel |
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Workshop
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Sat 17:15 |
Keynote IV: Teaching LLMs to Reason Ross Taylor |
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Workshop
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Teach GPT To Phish Ashwinee Panda · Zhengming Zhang · Yaoqing Yang · Prateek Mittal |
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Workshop
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Sat 19:00 |
Multimodal LLMs for health grounded in individual-specific data Justin Cosentino · Anastasiya Belyaeva · Farhad Hormozdiari · Cory McLean · nicholas furlotte |
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Workshop
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Neuro-Symbolic Models of Human Moral Judgment: LLMs as Automatic Feature Extractors joseph kwon · Sydney Levine · Josh Tenenbaum |
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Workshop
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Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian Ma · Yitao Liang |
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Oral
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Thu 18:48 |
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time Zichang Liu · Jue Wang · Tri Dao · Tianyi Zhou · Binhang Yuan · Zhao Song · Anshumali Shrivastava · Ce Zhang · Yuandong Tian · Christopher Re · Beidi Chen |