Code for Zae Myung Kim's paper titled "Meta^n: Recursive Self-Improvement through Emergent Depth"
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Updated
Aug 26, 2026 - Python
Code for Zae Myung Kim's paper titled "Meta^n: Recursive Self-Improvement through Emergent Depth"
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"
Zae Myung Kim's paper on "The Amazing Agent Race: Strong Tool Users, Weak Navigators"
Das et al's paper titled "LawFlow: Collecting and Simulating Lawyers Thought Process"
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!"
Code for "Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation" (R2FM @ ICLR 2024)
Khanh Chi Le et al's paper on ScholaWrite: A Dataset of End-to-End Scholarly Writing Process
Code for Das et al.'s paper "Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Models"
Codebase for the paper, "Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward Models"
Code and dataset for Martin et al's paper "Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction"
SciSense models scientific ideation as structured sensemaking, generating citation-grounded research trajectories and annotations to support more novel research output
End-To-End Molecular Dynamics (MD) Engine using PyTorch
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