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Small Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/8zym/crave

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CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs

https://github.com/Jantory/anymatch

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AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model

https://github.com/Lightning-AI/lit-gpt

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TinyLlama: An Open-Source Small Language Model

https://github.com/Nouf-Alabbasi/oKUmura_AI_Telecom_challenge

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Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards

https://github.com/amshaker/mobile-videogpt

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Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model

https://github.com/annon-submission/slm-creativity

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Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs

https://github.com/aryan-sajith/urv-data_quantity_vs_data_quality-research

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Is Training Data Quality or Quantity More Impactful to Small Language Model Performance?

https://github.com/atla-ai/selene-mini

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Atla Selene Mini: A General Purpose Evaluation Model

https://github.com/bias-barometer/birth-of-bias

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The Birth of Bias: A case study on the evolution of gender bias in an English language model

https://github.com/cisnlp/xampler

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XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples

https://github.com/damo-nlp-sg/soul

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SOUL: Towards Sentiment and Opinion Understanding of Language

https://github.com/deep-diver/llamaduo

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LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs

https://github.com/facebookresearch/zero

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Zero-Shot Vision Encoder Grafting via LLM Surrogates

https://github.com/hitsz-tmg/cognitive-visual-language-mapper

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Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment

https://github.com/hkbunlp/explainhm-www2024

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Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models

https://github.com/inathwor/Preempting-Text-Sanitization

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Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions

https://github.com/jiuzhouh/pive

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PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs

https://github.com/jzhang38/tinyllama

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TinyLlama: An Open-Source Small Language Model

https://github.com/kevinsrr/repal

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Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction

https://github.com/lbotirx/cofipara

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CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models

https://github.com/leaperovo/adaptivelog-review

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AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model

https://github.com/mehdimojarradi/Ensemble-SuperICL

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Improving In-Context Learning with Small Language Model Ensembles

https://github.com/mehrdadghassabi/gaokerena

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Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model

https://github.com/microsoft/constrainedreasoner

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SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection

https://github.com/mingxuanxia/candist

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Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation

https://github.com/osu-nlp-group/llm-planner

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Embodied CoT Distillation From LLM To Off-the-shelf Agents

https://github.com/raidium-med/mqg

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Efficient Medical Question Answering with Knowledge-Augmented Question Generation

https://github.com/ritaranx/collab-rag

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Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration

https://github.com/seznam/dareczech

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Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset

https://github.com/solidlabnetwork/awesome-distributed-LLM

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Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions

https://github.com/squeezeailab/tinyagent

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TinyAgent: Function Calling at the Edge

https://github.com/stefanolocci/LLMClassification

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Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain

https://github.com/taeheej/lightweight-relevance-grader-in-rag

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Lightweight Relevance Grader in RAG

https://github.com/tdooms/bilinear-decomposition

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Bilinear MLPs enable weight-based mechanistic interpretability

https://github.com/theodorblackbird/lina-speech

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Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis

https://github.com/thudm/scholar-profiling

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Small Language Model Makes an Effective Long Text Extractor

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