OSU Natural Language Processing

Code, data, and model of paper "Text-to-SQL Error Correction with Language Models of Code" (ACL'23)

OSU-NLP-Group

[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".

OSU-NLP-Group

Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"

OSU-NLP-Group

Official code repo for the paper "LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset"

OSU-NLP-Group

[ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"

OSU-NLP-Group

[ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"

OSU-NLP-Group

[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"

OSU-NLP-Group

[ICML'24] SeeAct is a system for generalist web agents that autonomously carry out tasks on any given website, with a focus on large multimodal models (LMMs) such as GPT-4V(ision).

OSU-NLP-Group

AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM

OSU-NLP-Group