91 citations · 357 across the 71 of their papers we have counts for
8 papers · 2 filters
Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries
Chaitanya Malaviya, Joseph Chee Chang, Dan Roth +3
Language model users often issue queries that lack specification, where the context under which a query was issued -- such as the user's identity, the query's intent, and the crite…
Localizing and Mitigating Errors in Long-form Question Answering
Rachneet Sachdeva, Yixiao Song, Mohit Iyyer +1
Long-form question answering (LFQA) aims to provide thorough and in-depth answers to complex questions, enhancing comprehension. However, such detailed responses are prone to hallu…
Interactive Topic Models with Optimal Transport
Garima Dhanania, Sheshera Mysore, Chau Minh Pham +3
Topic models are widely used to analyze document collections. While they are valuable for discovering latent topics in a corpus when analysts are unfamiliar with the corpus, analys…
VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation
Yixiao Song, Yekyung Kim, Mohit Iyyer
Existing metrics for evaluating the factuality of long-form text, such as FACTSCORE (Min et al., 2023) and SAFE (Wei et al., 2024), decompose an input text into "atomic claims" and…
Suri: Multi-constraint Instruction Following for Long-form Text Generation
Chau Minh Pham, Simeng Sun, Mohit Iyyer
Existing research on instruction following largely focuses on tasks with simple instructions and short responses. In this work, we explore multi-constraint instruction following fo…
CaLMQA: Exploring culturally specific long-form question answering across 23 languages
Shane Arora, Marzena Karpinska, Hung-Ting Chen +3
Despite rising global usage of large language models (LLMs), their ability to generate long-form answers to culturally specific questions remains unexplored in many languages. To f…