33 citations · 88 across the 25 of their papers we have counts for
6 papers · 1 filter
Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
Amartya Roy, Elamparithy M, Kripabandhu Ghosh +2
In context learning (ICL) underpins recent advances in large language models (LLMs), although its role and performance in causal reasoning remains unclear. Causal reasoning demands…
Is In-Context Learning Learning?
Adrian de Wynter
In-context learning (ICL) allows some autoregressive models to solve tasks via next-token prediction and without needing further training. This has led to claims about these model'…
Evaluating Style-Personalized Text Generation: Challenges and Directions
Anubhav Jangra, Bahareh Sarrafzadeh, Silviu Cucerzan +2
With the surge of large language models (LLMs) and their ability to produce customized output, style-personalized text generation--"write like me"--has become a rapidly growing are…
The Thin Line Between Comprehension and Persuasion in LLMs
Adrian de Wynter, Tangming Yuan
Large language models (LLMs) are excellent at maintaining high-level, convincing dialogue, but it remains unclear whether their persuasive success reflects genuine understanding of…
Algorithmically Establishing Trust in Evaluators
Adrian de Wynter
An evaluator, such as an LLM-as-a-judge, is trustworthy when there exists some agreed-upon way to measure its performance as a labeller. Traditional approaches either rely on testi…
A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications
Sunayana Sitaram, Adrian de Wynter, Isobel McCrum +2
Misgendering is the act of referring to someone by a gender that does not match their chosen identity. It marginalizes and undermines a person's sense of self, causing significant…