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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/holistic-ai/THaMES

공식 코드

THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models

https://github.com/holmeswww/spring

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SPRING: Studying the Paper and Reasoning to Play Games

https://github.com/homan-lab/noise-audit-dataset

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Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive

https://github.com/homan-lab/voiced

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Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive

https://github.com/honee-w/u-sam

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U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding

https://github.com/hongwang600/flair

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Bot or Human? Detecting ChatGPT Imposters with A Single Question

https://github.com/hongzhiq/finegrainedsuicidedetection

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SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis

https://github.com/hoon-ock/catalystaigent

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Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent

https://github.com/hoorangyee/lrage

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LARGE: Legal Retrieval Augmented Generation Evaluation Tool

https://github.com/hornhehhf/rr

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Rethinking with Retrieval: Faithful Large Language Model Inference

https://github.com/houcharlie/pre-text

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PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

https://github.com/howardli0816/dual-fusion-diffusion

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Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement

https://github.com/hpcaitech/colossalai

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Elixir: Train a Large Language Model on a Small GPU Cluster

https://github.com/hpcaitech/elixir

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Elixir: Train a Large Language Model on a Small GPU Cluster

https://github.com/hplt-project/monolingual-multilingual-instruction-tuning

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Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

https://github.com/hritikbansal/videocon

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VideoCon: Robust Video-Language Alignment via Contrast Captions

https://github.com/hrlics/lite

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LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

https://github.com/hsliu-initial/ctrla

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CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control

https://github.com/hsm316/llm_wikipedia

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Wikipedia in the Era of LLMs: Evolution and Risks

https://github.com/hsu-aut/aml-shacl

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Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL

https://github.com/huangd1999/EmpiricalStudyofTestGeneration

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Measuring the Influence of Incorrect Code on Test Generation

https://github.com/huangl22/chat3gpp

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Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents

https://github.com/huangyuxiang03/Locret

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Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices

https://github.com/huawei-lin/rapidin

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Token-wise Influential Training Data Retrieval for Large Language Models

https://github.com/huawei-noah/hebo

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ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

https://github.com/huenao/debate-augmented-rag

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Removal of Hallucination on Hallucination: Debate-Augmented RAG

https://github.com/huggingface/autotrain-advanced

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AutoTrain: No-code training for state-of-the-art models

https://github.com/huggingface/transformers

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Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

https://github.com/huggingface/transformers/tree/master/examples/research_projects/rag-end2end-retriever

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Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering

https://github.com/hughvd/um-cai-fellowship

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From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries

https://github.com/huichizhou/trustrag

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TrustRAG: Enhancing Robustness and Trustworthiness in RAG

https://github.com/huihuichyan/unlimitedjudge

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An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

https://github.com/huiminzeng/gpt-fedrec

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Federated Recommendation via Hybrid Retrieval Augmented Generation

https://github.com/humanmllm/humanomniv2

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HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context

https://github.com/huntila/scholarly-kgqa

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Leveraging LLMs in Scholarly Knowledge Graph Question Answering

https://github.com/hurlab/vaccine-adjuvant-llm

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Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

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