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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/bryanchrist/mathneuro

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Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes

https://github.com/bs-000/bgh-ls-llms-ler

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Summarisation of German Judgments in conjunction with a Class-based Evaluation

https://github.com/buaadreamer/easyrag

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EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

https://github.com/bugmakerzzz/linked_code

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LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning

https://github.com/bugtig6351/lfqa_evaluation

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An Empirical Study of Evaluating Long-form Question Answering

https://github.com/bupt-gamma/graphteam

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GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration

https://github.com/bupt-gamma/pathrag

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PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths

https://github.com/buptwululu/fg-rag

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FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG

https://github.com/burcgokden/PLDR-LLM-with-KVG-cache

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PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference

https://github.com/burcgokden/llm-from-power-law-decoder-representations

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PLDR-LLM: Large Language Model from Power Law Decoder Representations

https://github.com/bwz96sco/or_llm_agent

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OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problem with Reasoning Large Language Model

https://github.com/byronbbl/ck-plug

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Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

https://github.com/byronbbl/context-dpo

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Context-DPO: Aligning Language Models for Context-Faithfulness

https://github.com/bytedance-seed/seed-coder

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Seed-Coder: Let the Code Model Curate Data for Itself

https://github.com/bytedance-seed/straggleranalysis

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Understanding Stragglers in Large Model Training Using What-if Analysis

https://github.com/bytedance/MoMA

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MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation

https://github.com/bytedance/hllm

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HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

https://github.com/bytedance/imageref-vl

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ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models

https://github.com/bytedance/omniscient-model

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Towards Open-Ended Visual Recognition with Large Language Model

https://github.com/bytedance/pargo

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MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

https://github.com/bytedance/sail

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The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

https://github.com/bytedance/salmonn

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SALMONN: Towards Generic Hearing Abilities for Large Language Models

https://github.com/bytedance/valley

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Valley2: Exploring Multimodal Models with Scalable Vision-Language Design

https://github.com/bytedance/video-salmonn-2

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video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models

https://github.com/bytetriper/lm4lv

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LM4LV: A Frozen Large Language Model for Low-level Vision Tasks

https://github.com/c-box/structeval

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StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation

https://github.com/caicch/colpro

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Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting

https://github.com/caixd-220529/LifelongAgentBench

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LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

https://github.com/calubkk/raat

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Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

https://github.com/calvinyeungck/automated_assignment_grading

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A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education

https://github.com/cambridgeltl/pairs

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Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

https://github.com/cambridgeltl/prompt4bli

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On Bilingual Lexicon Induction with Large Language Models

https://github.com/cambridgeltl/sail-bli

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Self-Augmented In-Context Learning for Unsupervised Word Translation

https://github.com/cambridgeltl/zepo

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Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments

https://github.com/camel-ai/agent-trust

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Can Large Language Model Agents Simulate Human Trust Behavior?

https://github.com/camel-ai/camel

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CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

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