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Small Language Model

Papers

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Showing 1–25 of 109 papers

TitleStatusHype
TinyLlama: An Open-Source Small Language ModelCode11
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMsCode3
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language ModelCode3
Embodied CoT Distillation From LLM To Off-the-shelf AgentsCode3
TinyAgent: Function Calling at the EdgeCode3
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-trainingCode2
Small-E: Small Language Model with Linear Attention for Efficient Speech SynthesisCode2
Zero-Shot Vision Encoder Grafting via LLM SurrogatesCode2
Mobile-VideoGPT: Fast and Accurate Video Understanding Language ModelCode2
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View GraphsCode2
Small Language Model Makes an Effective Long Text ExtractorCode1
Bilinear MLPs enable weight-based mechanistic interpretabilityCode1
Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech DatasetCode1
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for NetworkCode1
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language ModelCode1
SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination DetectionCode1
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentCode1
Atla Selene Mini: A General Purpose Evaluation ModelCode1
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMsCode1
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationCode1
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsCode1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future DirectionsCode1
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data AnnotationCode1
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