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20242026
most citedSuggesting Code Edits in Interactive Machine Learning Notebooks Using Large Language Models

1 citations · 4 across the 13 of their papers we have counts for

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cs.CL2026

Compile by Training: Turning Natural-Language Specifications into Local Neural Functions

Yuntian Deng, Pengyu Nie, Stuart Shieber

Many recurring text functions are easy to describe but difficult to implement with rules, while calling a large remote model for every input introduces repeated cost, latency, and…

cs.CL2025

TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar

Yinxi Li, Yuntian Deng, Pengyu Nie

Large language models (LLMs) for code rely on subword tokenizers, such as byte-pair encoding (BPE), learned from mixed natural language text and programming language code but drive…