LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper • 2402.13753 • Published Feb 21 • 104
User-LLM: Efficient LLM Contextualization with User Embeddings Paper • 2402.13598 • Published Feb 21 • 17
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Paper • 2402.13064 • Published Feb 20 • 45
Instruction-tuned Language Models are Better Knowledge Learners Paper • 2402.12847 • Published Feb 20 • 25
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization Paper • 2402.13249 • Published Feb 20 • 10
A Touch, Vision, and Language Dataset for Multimodal Alignment Paper • 2402.13232 • Published Feb 20 • 11
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts Paper • 2402.13220 • Published Feb 20 • 12
Speculative Streaming: Fast LLM Inference without Auxiliary Models Paper • 2402.11131 • Published Feb 16 • 41
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements Paper • 2402.10963 • Published Feb 13 • 9
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows Paper • 2402.10379 • Published Feb 16 • 27
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models Paper • 2402.10524 • Published Feb 16 • 19
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling Paper • 2402.10466 • Published Feb 16 • 16
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset Paper • 2402.10176 • Published Feb 15 • 33
Premise Order Matters in Reasoning with Large Language Models Paper • 2402.08939 • Published Feb 14 • 23