SOTAVerified

In-Context Learning

Papers

Showing 150 of 2297 papers

TitleStatusHype
CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language ModelsCode11
FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMsCode11
RWKV-7 "Goose" with Expressive Dynamic State EvolutionCode9
YuE: Scaling Open Foundation Models for Long-Form Music GenerationCode9
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion TransformersCode9
Do Large Language Models Need a Content Delivery Network?Code9
Natural language guidance of high-fidelity text-to-speech with synthetic annotationsCode9
Large Language Diffusion ModelsCode7
Zero-shot Voice Conversion with Diffusion TransformersCode7
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?Code7
Seed-TTS: A Family of High-Quality Versatile Speech Generation ModelsCode7
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language ModelsCode7
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical AssistanceCode7
Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersCode7
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPCode7
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksCode5
KBLaM: Knowledge Base augmented Language ModelCode5
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMsCode5
Long-context LLMs Struggle with Long In-context LearningCode5
Fundamental Components of Deep Learning: A category-theoretic approachCode5
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue AbilitiesCode5
SymbolicAI: A framework for logic-based approaches combining generative models and solversCode5
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsCode5
Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language ModelingCode5
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondCode5
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQLCode4
Zero-shot forecasting of chaotic systemsCode4
WavCraft: Audio Editing and Generation with Large Language ModelsCode4
InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningCode4
VILA: On Pre-training for Visual Language ModelsCode4
Eureka: Human-Level Reward Design via Coding Large Language ModelsCode4
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised PretrainingCode4
MIMIC-IT: Multi-Modal In-Context Instruction TuningCode4
Otter: A Multi-Modal Model with In-Context Instruction TuningCode4
SegGPT: Segmenting Everything In ContextCode4
Images Speak in Images: A Generalist Painter for In-Context Visual LearningCode4
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningCode4
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context LearningCode3
Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to MultimodalityCode3
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware MaskCode3
Embodied CoT Distillation From LLM To Off-the-shelf AgentsCode3
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different ScenesCode3
The Surprising Effectiveness of Test-Time Training for Few-Shot LearningCode3
Scaling Diffusion Language Models via Adaptation from Autoregressive ModelsCode3
Foundation Models for Music: A SurveyCode3
Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code GenerationCode3
A Survey on Mixture of ExpertsCode3
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with TextCode3
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksCode3
QuRating: Selecting High-Quality Data for Training Language ModelsCode3
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