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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/fangguo1/mcranker

공식 코드

MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers

https://github.com/fangshiyuu/codrivingllm

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Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework

https://github.com/fanhaoxiang1/litlinker

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LitLinker: Supporting the Ideation of Interdisciplinary Contexts with Large Language Models for Teaching Literature in Elementary Schools

https://github.com/fanyin3639/lid-hallucinationdetection

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Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

https://github.com/fardinsaad/gricean-norms

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Gricean Norms as a Basis for Effective Collaboration

https://github.com/fate-ubw/raglab

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RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

https://github.com/fede-stack/adaptive-rag-for-psychological-assessment

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Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice

https://github.com/feiliu36/eoh

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Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

https://github.com/feiwang96/Data-Advisor

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Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models

https://github.com/felixchan9527/versagen_official

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VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis

https://github.com/fengchen025/PhenoAssistant

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PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping

https://github.com/fenghetan9/llm4seg

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Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster

https://github.com/fengranMark/PersonalizedCIR

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How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval

https://github.com/feradauto/moralcot

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When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment

https://github.com/ffzzy840304/masked-pdpp

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Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos

https://github.com/fhshubho/cgs-zsl

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ChatGPT-guided Semantics for Zero-shot Learning

https://github.com/fiction-zju/rulegpt

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HORAE: A Domain-Agnostic Language for Automated Service Regulation

https://github.com/fiorina1212/attention-buckets

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Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use

https://github.com/firenze11/finance_lm

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Multimodal Gen-AI for Fundamental Investment Research

https://github.com/fireredteam/fireredasr

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FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration

https://github.com/fisht0ucher/trident

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TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis

https://github.com/fjq-tongji/mllm-sul

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MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios

https://github.com/flagopen/flagembedding

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Towards A Generalist Code Embedding Model Based On Massive Data Synthesis

https://github.com/flame-ruc/flame

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FLAME: Financial Large-Language Model Assessment and Metrics Evaluation

https://github.com/flavio2018/nesy23

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A Hybrid System for Systematic Generalization in Simple Arithmetic Problems

https://github.com/flexflow/flexflow

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SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

https://github.com/flixpar/med-ts-llm

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MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis

https://github.com/floridsleeves/llmdebugger

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Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

https://github.com/floridsleeves/robustapi

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Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation

https://github.com/florin-git/Base-vs-Instruct-LLMs-in-RAG-Systems

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A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems

https://github.com/florin-git/The-Power-of-Noise

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The Power of Noise: Redefining Retrieval for RAG Systems

https://github.com/flyfree5/lahore

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Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval

https://github.com/fminference/flexgen

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FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

https://github.com/forestsking/chattime

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ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

https://github.com/foundationvision/liquid

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Liquid: Language Models are Scalable Multi-modal Generators

https://github.com/fpcsong/BiLD

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BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation

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