Search Results for author:
Found 6 papers, 3 papers with code
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
These prompts form FactBench, a dataset of 1K prompts across 150 fine-grained topics.
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
Past research has focused on optimizing prompts specific to a task.
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
Studying and building datasets for dialogue tasks is both expensive and time-consuming due to the need to recruit, train, and collect data from study participants.
CUDA-Accelerated Soft Robot Neural Evolution with Large Language Model Supervision
This paper addresses the challenge of co-designing morphology and control in soft robots via a novel neural network evolution approach.
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction
Monocular SLAM has received a lot of attention due to its simple RGB inputs and the lifting of complex sensor constraints.
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
The versatility of Large Language Models (LLMs) on natural language understanding tasks has made them popular for research in social sciences.
