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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/viswavi/few-shot-clustering

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Large Language Models Enable Few-Shot Clustering

https://github.com/vita-group/dp-opt

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DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

https://github.com/vita-mllm/vita-audio

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VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model

https://github.com/vivek3141/gg-bench

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Measuring General Intelligence with Generated Games

https://github.com/vk0812/third-party-attacks-on-llms

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Attacks on Third-Party APIs of Large Language Models

https://github.com/vl2g/PatentLMM

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PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures

https://github.com/vllm-project/vllm

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Efficient Memory Management for Large Language Model Serving with PagedAttention

https://github.com/volcengine/vescale

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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

https://github.com/vrmarathe/VirusT5

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VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution

https://github.com/vyokky/LLM-Brained-GUI-Agents-Survey

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Large Language Model-Brained GUI Agents: A Survey

https://github.com/waetr/KET-RAG

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KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG

https://github.com/wakals/gascol

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Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation

https://github.com/walkerworldpeace/mllmerging

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Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging

https://github.com/walledai/walledeval

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WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models

https://github.com/waltonfuture/Diabetica

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Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management

https://github.com/waltonfuture/Diff-eRank

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Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models

https://github.com/wang-yanting/tracllm

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TracLLM: A Generic Framework for Attributing Long Context LLMs

https://github.com/wangbo9719/L-Defense_EFND

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Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom

https://github.com/wangclnlp/DeepSpeed-Chat-Extension/tree/main/examples/esrl

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ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation

https://github.com/wangjunchi/llmseg

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LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning

https://github.com/wanglingxiang1298/CodeBC

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CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain

https://github.com/wangru25/psgrnaclustering

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How Large is the Universe of RNA-Like Motifs? A Clustering Analysis of RNA Graph Motifs Using Topological Descriptors

https://github.com/wangxfng/rdrec

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RDRec: Rationale Distillation for LLM-based Recommendation

https://github.com/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List

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Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework

https://github.com/wangyh-bupt/dairstega

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Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel

https://github.com/wangyu0627/irllrec

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Intent Representation Learning with Large Language Model for Recommendation

https://github.com/wangzc1233/Prot2Chat

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Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure

https://github.com/waterhorse1/llm_tree_search

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Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

https://github.com/wazenmai/hc-smoe

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Retraining-Free Merging of Sparse MoE via Hierarchical Clustering

https://github.com/wbbeyourself/scm4llms

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Enhancing Large Language Model with Self-Controlled Memory Framework

https://github.com/weaidb/awesome-data-llm

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A Survey of LLM $\times$ DATA

https://github.com/weaidb/awsome-data-llm

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A Survey of LLM $\times$ DATA

https://github.com/weaidb/cracksql

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CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models

https://github.com/webeng/llm_knowledge_gap_finder

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Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge Gaps

https://github.com/webis-de/ecir-25

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Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking

https://github.com/webis-de/msmarco-llm-distillation

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Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.