1 citations · 4 across the 9 of their papers we have counts for
10 papers
Pushback in a Haystack: Language Models Respond to Factual Errors Ambiguously and Ineffectively
Li Lucy, Myra Cheng, Svenja Guhr +7
The sycophancy of language models, or their failure to push back against faulty user input, is now widely studied. However, if LMs do push back, is sycophancy solved? We show that…
One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography
Muge Zhang, Aaron Jencks, Krishna Badikela +2
Multilingual language models transfer knowledge across languages through shared subword vocabulary, a mechanism that breaks down when related languages use different writing system…
IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation
Anjali Kantharuban, Aarohi Srivastava, Fahim Faisal +5
Existing sentence representations primarily encode what a sentence says, rather than how it is expressed, even though the latter is important for many applications. In contrast, we…
BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning
Min Jang, Orevaoghene Ahia, Nazif Tamer +3
Music understanding is a complex task that often requires reasoning over both structural and semantic elements of audio. We introduce BASS, designed to evaluate music understanding…
BLAB: Brutally Long Audio Bench
Orevaoghene Ahia, Martijn Bartelds, Kabir Ahuja +13
Developing large audio language models (LMs) capable of understanding diverse spoken interactions is essential for accommodating the multimodal nature of human communication and ca…
Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection
Kabir Ahuja, Melanie Sclar, Yulia Tsvetkov
Stories are a fundamental aspect of human experience. Engaging deeply with stories and spotting plot holes -- inconsistencies in a storyline that break the internal logic or rules…
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
Orevaoghene Ahia, Sachin Kumar, Hila Gonen +4
In multilingual settings, non-Latin scripts and low-resource languages are usually disadvantaged in terms of language models' utility, efficiency, and cost. Specifically, previous…
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects
Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan +5
Yorùbá an African language with roughly 47 million speakers encompasses a continuum with several dialects. Recent efforts to develop NLP technologies for African languages have foc…
Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers
Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov +1
Identifying linguistic differences between dialects of a language often requires expert knowledge and meticulous human analysis. This is largely due to the complexity and nuance in…
DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava +4
Language technologies should be judged on their usefulness in real-world use cases. An often overlooked aspect in natural language processing (NLP) research and evaluation is langu…