LLMs8
A Collection of Good LLM Analogies
The Curious Case of LLM Evaluations
Our modeling, scaling and generalization techniques grew faster than our benchmarking abilities - which in turn have resulted in poor evaluation and hyped capabilities.
Gender Bias in GPT4: A Short Demo
A brief demonstration of gender bias in GPT4, as observed from various downstream task perspectives ft. Taylor Swift
Unstable Theory of Mind in Sparks of AGI
Discussing the prospect of deriving instinct and purpose for a prompt and creating examples for evaluation problems focussing the Sally-Anne False-Belief Test and provide a summary of when GPT4 and GPT3.5 pass or fail the test.
Prompt Cap | Making Sure Your Model Benchmarking is Cap or Not-Cap
Enhance classification with a text annotation framework for improved systemization in prompt-based language model evaluation
Rethinking User Study Design for Evaluating Model Explanations : A sketchnote
Can Rationalization Improve Robustness? : A sketchnote
Beware the Rationalization Trap! : A sketchnote