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Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mikelixiang88/context-matters

공식 코드

Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions

https://github.com/mikelkn/woah-2025

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Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate

https://github.com/mileswyn/ich_mllms_validation

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Zero-Shot Multi-modal Large Language Model v.s. Supervised Deep Learning: A Comparative Study on CT-Based Intracranial Hemorrhage Subtyping

https://github.com/milkmilk511/lapt

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Design Principle Transfer in Neural Architecture Search via Large Language Models

https://github.com/milvlg/prophet

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Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering

https://github.com/mims-harvard/Madrigal

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Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

https://github.com/mims-harvard/ToolUniverse

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TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

https://github.com/mims-harvard/TxAgent

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TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

https://github.com/minaek/reward_design_with_llms

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Reward Design with Language Models

https://github.com/mindverse/rag-tuned-llm

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Tuning LLMs by RAG Principles: Towards LLM-native Memory

https://github.com/ming-k9/mft

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Boosting Large Language Models with Mask Fine-Tuning

https://github.com/mingchaoqi/skill_transfer

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Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile Representation

https://github.com/mingyue-cheng/bingjian

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Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform

https://github.com/mingyuj666/stockagent

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When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

https://github.com/minhvuong2000/llmreasoncert

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Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs

https://github.com/mininglamp-mllm/hmllm

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Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

https://github.com/minqi/wordcraft

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WordCraft: An Environment for Benchmarking Commonsense Agents

https://github.com/miralab-ustc/qe-cone

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ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

https://github.com/mirunabetianu/dallmi

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DALLMi: Domain Adaption for LLM-based Multi-label Classifier

https://github.com/mistyreed63849/graph-llm

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GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

https://github.com/mit-han-lab/omniserve

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QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

https://github.com/mit-han-lab/qserve

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QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

https://github.com/mit-ll/linkq

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LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering

https://github.com/mitmedialab/ai-false-memories

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Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews

https://github.com/mitsuichen14/lrsclip

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LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer Text

https://github.com/miulab/kg-survey

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LLM Inference Enhanced by External Knowledge: A Survey

https://github.com/miulab/lmrec-survey

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Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders

https://github.com/miulab/taiwan-llama

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Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model

https://github.com/miulab/taiwan-llm

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Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model

https://github.com/mj-storytelling/DiversityTuning

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Modifying Large Language Model Post-Training for Diverse Creative Writing

https://github.com/mkandai/llms-in-the-loop

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LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages

https://github.com/ml-ailab/ophglm

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OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue

https://github.com/ml4ai/scenario-context

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When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context

https://github.com/mlfoundations/rtfm

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Large Scale Transfer Learning for Tabular Data via Language Modeling

https://github.com/mlfoundations/tabliblib

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Large Scale Transfer Learning for Tabular Data via Language Modeling

https://github.com/mlgroupjlu/matrixnuclearnorm

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Large Language Model Evaluation via Matrix Nuclear-Norm

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