Minnesota NLP
minnesotanlp
NLP group at University of Minnesota
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Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"
Parkar and Kim et al.'s paper on :SelectLLM: Can LLMs Select Important Instructions to Annotate?"
Jaehyung Kim et al's ICML23 paper "Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning"
Code repository for Kim et al's ACL 2024 paper: "Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs"
Karin de Langis's EMNLP 2024 paper on "Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation"
code and data for Hayati et al's paper on "How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting!"
Repositories
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AI agents running research on single-GPU nanochat training automatically
Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"
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Karin de Langis's EMNLP 2024 paper on "Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation"
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Codebase for the paper, "Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward Models"
Code repository for Kim et al's ACL 2024 paper: "Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs"
No description provided.
Parkar and Kim et al.'s paper on :SelectLLM: Can LLMs Select Important Instructions to Annotate?"
Official implementation of Wan et al's paper "Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information" (AAAI 2023)
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Code for Owan et al's paper "Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets"
LawFlow-Anon
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code and data for Hayati et al's paper on "How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting!"
A project page for SciTalk
Jaehyung Kim et al's ICML23 paper "Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning"
umbrella project for analyzing readers' engagement in stories and correlating them with discourse features, including the eye tracking and highlighting annotations
Code and dataset for Martin et al's paper "Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction"
Code for Das et al.'s paper "Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models"