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Workshop
Sat 15:30 Hypothesis testing the circuit hypothesis in LLMs
Claudia shi
Workshop
Sun 9:25 Alison Gopnik - Empowerment as causal learning, causal learning as empowerment: A bridge between Bayesian causal hypothesis testing and reinforcement learning
Alison Gopnik
Poster
Thu 16:30 Hypothesis Testing the Circuit Hypothesis in LLMs
Claudia Shi · Nicolas Beltran Velez · Achille Nazaret · Carolina Zheng · Adrià Garriga-Alonso · Andrew Jesson · Maggie Makar · David Blei
Workshop
Sat 12:00 Statistically Valid Information Bottleneck via Multiple Hypothesis Testing
Amirmohammad Farzaneh · Osvaldo Simeone
Workshop
Sat 12:00 Towards Optimal Statistical Watermarking
Baihe Huang · Hanlin Zhu · Banghua Zhu · Kannan Ramchandran · Michael Jordan · Jason Lee · Jiantao Jiao
Workshop
Sat 12:00 A Statistical Approach to Quantifying LLM Human Alignment
Harbin Hong · Liu Leqi · Sebastian Caldas
Poster
Fri 11:00 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
Workshop
Sat 15:45 A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
Bowen Jiang · Yangxinyu Xie · Zhuoqun Hao · Xiaomeng Wang · Tanwi Mallick · Weijie Su · Camillo Taylor · Dan Roth