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Language Modeling

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Showing 5926–5950 of 14182 papers

TitleStatusHype
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models—0
Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training—0
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application—0
Green Runner: A tool for efficient model selection from model repositories—0
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization—0
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering—0
Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC—0
GENEVA: GENErating and Visualizing branching narratives using LLMs—0
GRIN: GRadient-INformed MoE—0
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents—0
Grounded Vision-Language Navigation for UAVs with Open-Vocabulary Goal Understanding—0
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation—0
GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model—0
Grounding Language Models in Autonomous Loco-manipulation Tasks—0
Grounding Language Model with Chunking-Free In-Context Retrieval—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
Grounding Gaps in Language Model Generations—0
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations—0
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs—0
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking—0
Group-Transformer: Towards A Lightweight Character-level Language Model—0
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching—0
Growing Efficient Deep Networks by Structured Continuous Sparsification—0
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language—0
GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data—0
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