Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Seven Failure Points When Engineering a Retrieval Augmented Generation System
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
Multi-Head RAG: Solving Multi-Aspect Problems with LLMs
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
”Do Anything Now”: Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}
From Sora What We Can See: A Survey of Text-to-Video Generation
The Future of Large Language Model Pre-training is Federated
Long-form factuality in large language models
Real-time Transformer-based Open-Vocabulary Detection with Efficient Fusion Head
Retrieval-Augmented Generation for AI-Generated Content: A Survey
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
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