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Large Language Model

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Showing 3351–3375 of 6097 papers

TitleStatusHype
SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training—0
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine—0
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction—0
TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs—0
Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning—0
TeaserGen: Generating Teasers for Long Documentaries—0
TED: Accelerate Model Training by Internal Generalization—0
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models—0
Tele-FLM Technical Report—0
Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale—0
Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding Is Hinted—0
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing—0
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting—0
TernaryLLM: Ternarized Large Language Model—0
TestAgent: An Adaptive and Intelligent Expert for Human Assessment—0
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model—0
Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems—0
Testing the Effect of Code Documentation on Large Language Model Code Understanding—0
Text2Relight: Creative Portrait Relighting with Text Guidance—0
Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test—0
TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model—0
Text-based Person Search without Parallel Image-Text Data—0
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents—0
Textbooks Are All You Need—0
Text Clustering with Large Language Model Embeddings—0
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