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Language Modeling

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Showing 301–350 of 14182 papers

TitleStatusHype
FAN: Fourier Analysis NetworksCode3
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache ManagementCode3
Cascade Prompt Learning for Vision-Language Model AdaptationCode3
Agent Workflow MemoryCode3
ContextCite: Attributing Model Generation to ContextCode3
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language ModelCode3
The Mamba in the Llama: Distilling and Accelerating Hybrid ModelsCode3
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMsCode3
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal ModelCode3
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond ScalingCode3
1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your Language Model Thrives on Quality DataCode3
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at ScaleCode3
TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSONCode3
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly DetectionCode3
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language ModelsCode3
Compact Language Models via Pruning and Knowledge DistillationCode3
OVLW-DETR: Open-Vocabulary Light-Weighted Detection TransformerCode3
An Actionable Framework for Assessing Bias and Fairness in Large Language Model Use CasesCode3
Scaling Retrieval-Based Language Models with a Trillion-Token DatastoreCode3
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model AgentsCode3
Tree Search for Language Model AgentsCode3
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything ModelCode3
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language ModelsCode3
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model PromptsCode3
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive ReasoningCode3
CarLLaVA: Vision language models for camera-only closed-loop drivingCode3
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective TasksCode3
Multimodal Table UnderstandingCode3
A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback LearningCode3
MeshXL: Neural Coordinate Field for Generative 3D Foundation ModelsCode3
GNN-RAG: Graph Neural Retrieval for Large Language Model ReasoningCode3
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning AttentionCode3
Improving Transformers with Dynamically Composable Multi-Head AttentionCode3
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
A Survey on the Memory Mechanism of Large Language Model based AgentsCode3
Deep Learning and LLM-based Methods Applied to Stellar Lightcurve ClassificationCode3
Rho-1: Not All Tokens Are What You NeedCode3
Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods in PythonCode3
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly DetectionCode3
MoMA: Multimodal LLM Adapter for Fast Personalized Image GenerationCode3
Evalverse: Unified and Accessible Library for Large Language Model EvaluationCode3
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage ScenariosCode3
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language ModelsCode3
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient InferenceCode3
EfficientVMamba: Atrous Selective Scan for Light Weight Visual MambaCode3
GiT: Towards Generalist Vision Transformer through Universal Language InterfaceCode3
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model CompressionCode3
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video GenerationCode3
Embodied Understanding of Driving ScenariosCode3
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