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Language Modeling

Papers

Showing 101125 of 14182 papers

TitleStatusHype
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZCode5
KBLaM: Knowledge Base augmented Language ModelCode5
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondCode5
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement LearningCode5
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsCode5
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPUCode5
LAB: Large-Scale Alignment for ChatBotsCode5
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsCode5
Randomized Autoregressive Visual GenerationCode5
Repetition Improves Language Model EmbeddingsCode5
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and VideosCode5
CogVLM: Visual Expert for Pretrained Language ModelsCode5
CogAgent: A Visual Language Model for GUI AgentsCode5
Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec modelsCode5
CodeGen2: Lessons for Training LLMs on Programming and Natural LanguagesCode5
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue AbilitiesCode5
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge AdaptationCode5
Ovis: Structural Embedding Alignment for Multimodal Large Language ModelCode5
NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training ParadigmsCode5
InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music GenerationCode5
Assessing Language Model Deployment with Risk CardsCode5
MEIA: Multimodal Embodied Perception and Interaction in Unknown EnvironmentsCode5
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient FinetuningCode5
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to PosttrainingCode5
MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter ExpertsCode5
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