papers I read in 2024
Efficient Memory Management for Large Language Model Serving with PagedAttention (ArXiv 2023)
Tidy Data (Journal of Statistical Software 2014)
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (ArXiv 2024)
A Comprehensive Survey of Compression Algorithms for Language Models (ArXiv 2024)
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models (ICLR 2023)
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization (ArXiv 2024)
Do Llamas Work in English? On the Latent Language of Multilingual Transformers (ArXiv 2024)
Is Cosine-Similarity of Embeddings Really About Similarity? (ArXiv 2024)
SurfingAttack: Interactive Hidden Attack on Voice Assistants Using Ultrasonic Guided Waves (Network and Distributed System Security Symposium)
The Generative AI Paradox : What it can create, it may not understand (ArXiv 2024)
Evalverse: Unified and Accessible Library for Large Language Model Evaluation (ArXiv 2024)
HyperClova X technical report (ArXiv 2024)
THE GENERATIVE AI PARADOX: “What It Can Create, It May Not Understand” (ArXiv 2024)
BATCH CALIBRATION: RETHINKING CALIBRATION FOR IN-CONTEXT LEARNING AND PROMPT ENGINEERING (ICLR 2024)
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future(ArXiv 2024)