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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/LLLQAQFFF/360REA

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360$^\circ$REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System

https://github.com/LLer0829/Measuring_Copyright_Risk_of_LLM

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Measuring Copyright Risks of Large Language Model via Partial Information Probing

https://github.com/Leanna97/TSINR

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TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection

https://github.com/LeapLabTHU/diver-ct

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DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints

https://github.com/Li-Z-Q/DeepSolution

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DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking

https://github.com/LongchaoDa/SegmentAsYouWish

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Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images

https://github.com/LuciusLan/Visual-RAG

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Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries

https://github.com/Luffy03/UniBiomed

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UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation

https://github.com/METR/ai-rd-tasks

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RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

https://github.com/MJinXiang/Reasoning-Table

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Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning

https://github.com/MLE-Dojo/MLE-Dojo

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MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

https://github.com/MYC000801/SE-POPO

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Avoiding $\mathbf{exp(R_{max})}$ scaling in RLHF through Preference-based Exploration

https://github.com/MYVAE/Instruction-detection

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Defending against Indirect Prompt Injection by Instruction Detection

https://github.com/MaastrichtU-IDS/LMKBC-2023

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Expanding the Vocabulary of BERT for Knowledge Base Construction

https://github.com/MadryLab/platinum-benchmarks

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Do Large Language Model Benchmarks Test Reliability?

https://github.com/MarcoMeter/neroRL

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Playing Pokémon Red via Deep Reinforcement Learning

https://github.com/MartinBoeckling/KGRag

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Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks

https://github.com/MarwahAlaofi/SIGIR-23-SRP-UQV100-GPT-Query-Variants

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Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study

https://github.com/MedHK23/MedViLaM

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MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

https://github.com/MikeGu721/DetectBench

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DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

https://github.com/MiliLab/GeoLLaVA-8K

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GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

https://github.com/Miracle1207/Mean-Field-LLM

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MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

https://github.com/MiuLab/RAG-Self-Preference

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LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation

https://github.com/MooreThreads/TurboRAG

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TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

https://github.com/MrRezaeiUofT/AT-RAG

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AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning

https://github.com/MrZihan/NavRAG

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NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

https://github.com/MultimodalGeo/GeoText-1652

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Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

https://github.com/MurrayTom/SG-Bench

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SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types

https://github.com/NExT-GPT/NExT-GPT

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NExT-GPT: Any-to-Any Multimodal LLM

https://github.com/NJU-LHRS/LHRS-Bot

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LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation

https://github.com/NLPJCL/RAG-Retrieval

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Jasper and Stella: distillation of SOTA embedding models

https://github.com/NVIDIA/Megatron-LM

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End-to-End Training of Neural Retrievers for Open-Domain Question Answering

https://github.com/NVlabs/FoundationStereo

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FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

https://github.com/NY1024/BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt

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Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt

https://github.com/NanxuGong/ELLM-FT

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Evolutionary Large Language Model for Automated Feature Transformation

https://github.com/Nickolas-option/QA_on_Tabular_Data_SemEval2025_Task8

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Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA

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