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Carina Suzana Negreanu

3 accepted papers

2025

Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions

AAAI 2025technical

LLMs-as-a-judge is a recently popularized method which replaces human judgements in task evaluation with automatic evaluation using LLMs. Due to widespread use of RLHF (Reinforcement Learning from Human Feedback), state-of-the-art LLMs like GPT4 and Llama3 are expected to have strong alignment with…

Cited by 10SourcePDFScholar
2023

CodeFusion: A Pre-trained Diffusion Model for Code Generation

EMNLP 2023short main

Imagine a developer who can only change their last line of code—how often would they have to start writing a function from scratch before it is correct? Auto-regressive models for code generation from natural language have a similar limitation: they do not easily allow reconsidering earlier tokens g…

Cited by 0SourceScholar
2023

InstructExcel: A Benchmark for Natural Language Instruction in Excel

EMNLP 2023long findings

With the evolution of Large Language Models (LLMs) we can solve increasingly more complex NLP tasks across various domains, including spreadsheets. This work investigates whether LLMs can generate code (Excel OfficeScripts, a TypeScript API for executing many tasks in Excel) that solves Excel specif…

Cited by 0SourceScholar