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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/tjtp/d2controller

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Dynamic Demonstrations Controller for In-Context Learning

https://github.com/tjunlp-lab/awesome-llm-safety-papers

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Large Language Model Safety: A Holistic Survey

https://github.com/tjunlp-lab/cmoraleval

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CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models

https://github.com/tjunlp-lab/fuxitranyu

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FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

https://github.com/tjzvbokbnft/ELITE-Embedding-Less-retrieval-with-Iterative-Text-Exploration

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ELITE: Embedding-Less retrieval with Iterative Text Exploration

https://github.com/tkenneweg/rag_dataset_gen

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Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup

https://github.com/tmlr-group/deepinception

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DeepInception: Hypnotize Large Language Model to Be Jailbreaker

https://github.com/tmlr-group/wca

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Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

https://github.com/tobischimanski/climretrieve

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ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures

https://github.com/tolusophy/Edge-of-Tomorrow

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On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts

https://github.com/tom192180/Generate_then_Refine

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Generate then Refine: Data Augmentation for Zero-shot Intent Detection

https://github.com/tomchen-ctj/OST

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OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition

https://github.com/tomsawyerhu/lrp4rag

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LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation

https://github.com/toneli/petailor-for-bio-triple-extraction

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Benchingmaking Large Langage Models in Biomedical Triple Extraction

https://github.com/tongji-kgllm/rag-survey

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Retrieval-Augmented Generation for Large Language Models: A Survey

https://github.com/tongji-kgllm/u-niah

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U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack

https://github.com/tongjifinlab/cfbenchmark

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CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model

https://github.com/tongjifinlab/cfgpt

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CFGPT: Chinese Financial Assistant with Large Language Model

https://github.com/tongzhou21/CogMG

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CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph

https://github.com/tongzhou21/oasis

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Oasis: Data Curation and Assessment System for Pretraining of Large Language Models

https://github.com/tonichopp/ecamp

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ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training

https://github.com/tonychenxyz/selfie

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SelfIE: Self-Interpretation of Large Language Model Embeddings

https://github.com/tonyzhang617/nomad-dist

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NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention

https://github.com/tool-lmm/tool-lmm

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MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning

https://github.com/towhidabsar/communityneeds

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Community Needs and Assets: A Computational Analysis of Community Conversations

https://github.com/tpekarekrosin/uhh_ub_ageawarehri

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A Framework for Adapting Human-Robot Interaction to Diverse User Groups

https://github.com/trae1oung/dyprag

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Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

https://github.com/traffic-alpha/illm-tsc

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iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

https://github.com/traffic-alpha/llm-assisted-light

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LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

https://github.com/travis-xu/TR-Feedback

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Enhancing Tool Retrieval with Iterative Feedback from Large Language Models

https://github.com/treeai-lab/awesome-kv-cache-management

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A Survey on Large Language Model Acceleration based on KV Cache Management

https://github.com/trishullab/LibraryAugmentedSymbolicRegression.jl

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Symbolic Regression with a Learned Concept Library

https://github.com/trishullab/copra

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An In-Context Learning Agent for Formal Theorem-Proving

https://github.com/trustedllm/llmdet

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LLMDet: A Third Party Large Language Models Generated Text Detection Tool

https://github.com/trustworthy-ml-lab/cb-llms

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Concept Bottleneck Large Language Models

https://github.com/tsinghua-dhy/edc-2-rag

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Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation

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