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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/shawnhuang497/medplib

공식 코드

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine

https://github.com/shawnye2000/creagent

공식 코드

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry

https://github.com/shayankiyani98/cp

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Length Optimization in Conformal Prediction

https://github.com/shayantalaei/chess

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CHESS: Contextual Harnessing for Efficient SQL Synthesis

https://github.com/sheikhshafayat/multi-fact

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Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore

https://github.com/shentianxiao/film

공식 코드

FiLM: Fill-in Language Models for Any-Order Generation

https://github.com/shijiawenwen/judgedeceiver

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Optimization-based Prompt Injection Attack to LLM-as-a-Judge

https://github.com/shiluohe/referencetrustabledecoding

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Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

https://github.com/showlab/videolisa

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One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

https://github.com/shrango/poss

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POSS: Position Specialist Generates Better Draft for Speculative Decoding

https://github.com/shtuplus/iccc_cvpr2024

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Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning

https://github.com/shubhamagarwal92/litllm

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LitLLM: A Toolkit for Scientific Literature Review

https://github.com/shumkashun/first

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FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation

https://github.com/shuoli90/traq

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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

https://github.com/si0wang/visvm

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Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension

https://github.com/sib-swiss/sparql-llm

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LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs

https://github.com/sichunluo/rallrec_plus

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RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning

https://github.com/sichunluo/recranker

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RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation

https://github.com/siddharthl93/design_kgex

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Retrieval Augmented Generation using Engineering Design Knowledge

https://github.com/siddharthl93/engineering-design-knowledge

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Retrieval Augmented Generation using Engineering Design Knowledge

https://github.com/sierra-research/tau2-bench

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$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

https://github.com/simbianai/taskgen

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TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON

https://github.com/simengsun/alpaca_farm_lora

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Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF

https://github.com/simisimon/dependency-validation-rag

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A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation

https://github.com/simula/soccer-rag

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SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries

https://github.com/simular-ai/agent-s

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Agent S: An Open Agentic Framework that Uses Computers Like a Human

https://github.com/sintel-dev/sigllm

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Large language models can be zero-shot anomaly detectors for time series?

https://github.com/sisinflab/Recommender-ChatGPT

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Evaluating ChatGPT as a Recommender System: A Rigorous Approach

https://github.com/sisl-uri/arch_backdoor_llm

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Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor

https://github.com/sisl/leraat

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LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool

https://github.com/sislab-unitn/fine-tune-or-rag

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Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue

https://github.com/sjdai/llm-thematic-analysis

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LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

https://github.com/sjj1017/citekit

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Citekit: A Modular Toolkit for Large Language Model Citation Generation

https://github.com/sjtu-ipads/powerinfer

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PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

https://github.com/sjtu-lit/pem_composition

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Composing Parameter-Efficient Modules with Arithmetic Operations

https://github.com/skgabriel/mh-eval

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Can AI Relate: Testing Large Language Model Response for Mental Health Support

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