Self-Edit: Fault-Aware Code Editor for Code Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Zhuo Li, Jia Allen Li, Ge Li, Zhi Jin | Summary: Large language models (LLMs) have demonstrated an impressive ability to generate codes on competitive programming tasks. However, with limited sample numbers, LLMs still suffer from poor accuracy. Inspired by the process of human programming, […]


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ToolCoder: Teach Code Generation Models to use API search tools

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. These […]


Continue.. ToolCoder: Teach Code Generation Models to use API search tools

ToolCoder: Teach Code Generation Models to use API search tools

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Allen Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. […]


Continue.. ToolCoder: Teach Code Generation Models to use API search tools

ToolCoder: Teach Code Generation Models to use API search tools

Kavli Affiliate: Zhuo Li | First 5 Authors: Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li | Summary: Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models often encounter difficulties when selecting appropriate APIs for specific contexts. These […]


Continue.. ToolCoder: Teach Code Generation Models to use API search tools

Feasibility of Passive Sounding of Uranian Moons using Uranian Kilometric Radiation

Kavli Affiliate: Dustin M. Schroeder | First 5 Authors: Andrew Romero-Wolf, Gregor Steinbruegge, Julie Castillo-Rogez, Corey J. Cochrane, Tom A. Nordheim | Summary: We present a feasibility study for passive sounding of Uranian icy moons using Uranian Kilometric Radio (UKR) emissions in the 100 – 900 kHz band. We provide a summary description of the […]


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Sub-harmonic Entrainment of Cortical Gamma Oscillations to Deep Brain Stimulation in Parkinson’s Disease: Model Based Predictions and Validation in Three Human Subjects

Kavli Affiliate: Philip Starr | Authors: James J. Sermon, Maria Olaru, Juan Anso, Stephanie Cernera, Simon Little, Maria Shcherbakova, Rafal Bogacz, Philip A. Starr, Timothy Denison and Benoit Duchet | Summary: Objectives The exact mechanisms of deep brain stimulation (DBS) are still an active area of investigation, in spite of its clinical successes. This is […]


Continue.. Sub-harmonic Entrainment of Cortical Gamma Oscillations to Deep Brain Stimulation in Parkinson’s Disease: Model Based Predictions and Validation in Three Human Subjects

Prophage rates in the human microbiome vary by body site and host health.

Kavli Affiliate: Robert Edwards | Authors: Laura K Inglis, Michael J. Roach and Robert A Edwards | Summary: Phages integrated into a bacterial genome–called prophages–continuously monitor the health of the host bacteria to determine when to escape the genome, protect their host from other phage infections, and may provide genes that promote bacterial growth. Prophages […]


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Large-scale brain-wide neural recording in nonhuman primates

Kavli Affiliate: Mark Churchland, Michael Shadlen | Authors: Eric M. Trautmann, Janis K. Hesse, Gabriel M. Stine, Ruobing Xia, Shude Zhu, Daniel J. O’Shea, Bill Karsh, Jennifer Colonell, Frank F. Lanfranchi, Saurabh Vyas, Andrew Zimnik, Natalie A. Steinmann, Daniel A. Wagenaar, Alexandru Andrei, Carolina Mora Lopez, John O’Callaghan, Jan Putzeys, Bogdan C. Raducanu, Marleen Welkenhuysen, […]


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Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


Continue.. Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


Continue.. Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability