Cross-Entropy Loss Functions: Theoretical Analysis and Applications Paper • 2304.07288 • Published Apr 14, 2023 • 1
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis Paper • 2410.02749 • Published Oct 3 • 12
Batch Prompting: Efficient Inference with Large Language Model APIs Paper • 2301.08721 • Published Jan 19, 2023 • 1
An Explanation of In-context Learning as Implicit Bayesian Inference Paper • 2111.02080 • Published Nov 3, 2021 • 1
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition Paper • 1512.02479 • Published Dec 8, 2015 • 1
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification Paper • 2403.06326 • Published Mar 10 • 1
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning Paper • 2303.10475 • Published Mar 18, 2023 • 2
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation Paper • 2409.13928 • Published Sep 20 • 1
WebApp1K: A Practical Code-Generation Benchmark for Web App Development Paper • 2408.00019 • Published Jul 30 • 1
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning Paper • 2312.01552 • Published Dec 4, 2023 • 30
A Case Study of Web App Coding with OpenAI Reasoning Models Paper • 2409.13773 • Published Sep 19 • 5
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning Paper • 2304.05366 • Published Apr 11, 2023 • 1