204 citations · 510 across the 29 of their papers we have counts for
4 papers · 1 filter
SelfIE: Self-Interpretation of Large Language Model Embeddings
Haozhe Chen, Carl Vondrick, Chengzhi Mao
How do large language models (LLMs) obtain their answers? The ability to explain and control an LLM's reasoning process is key for reliability, transparency, and future model devel…
Raidar: geneRative AI Detection viA Rewriting
Chengzhi Mao, Carl Vondrick, Hao Wang +1
We find that large language models (LLMs) are more likely to modify human-written text than AI-generated text when tasked with rewriting. This tendency arises because LLMs often pe…
Analogical Reasoning for Visually Grounded Language Acquisition
Bo Wu, Haoyu Qin, Alireza Zareian +2
Children acquire language subconsciously by observing the surrounding world and listening to descriptions. They can discover the meaning of words even without explicit language kno…
Learning to Learn Words from Visual Scenes
Dídac Surís, Dave Epstein, Heng Ji +2
Language acquisition is the process of learning words from the surrounding scene. We introduce a meta-learning framework that learns how to learn word representations from unconstr…