Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Ring Attention with Blockwise Transformers for Near-Infinite Context
Premise Order Matters in Reasoning with Large Language Models
Generative Representational Instruction Tuning
DoRA: Weight-Decomposed Low-Rank Adaptation
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
World Model on Million-Length Video And Language With RingAttention
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Fractal Patterns May Unravel the Intelligence in Next-Token Prediction
Precise Zero-Shot Dense Retrieval without Relevance Labels
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
Relevance-guided Supervision for OpenQA with ColBERT
PLAID: An Efficient Engine for Late Interaction Retrieval
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Corrective Retrieval Augmented Generation
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
A Comprehensive Survey on 3D Content Generation
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