5 citations · 7 across the 10 of their papers we have counts for
12 papers
Articulation Upper Bounds for Language Models
Alexander Spangher, Daniel E. Ho, Diyi Yang +2
Language captures only a subset of the perceptions, intuitions and intents that form meaning between speakers. What, then, are the limits of language? We take steps towards measuri…
Verifiable, Articulable, and Tacit Components of Preference
Alexander Spangher, Sheldon S. Huang, Sheldon Huang +5
What makes a short story gripping; a news article newsworthy; or a math proof elegant? These constructs resist articulation or verification; their meaning is at least partially tac…
Evaluating Commercial AI Chatbots as News Intermediaries
Mirac Suzgun, Emily Shen, Federico Bianchi +5
AI chatbots are rapidly shaping how people encounter the news, yet no prior study has systematically measured how accurately these systems, with their proprietary search integratio…
WebDS: An End-to-End Benchmark for Web-based Data Science
Ethan Hsu, Hong Meng Yam, Ines Bouissou +9
Many real-world data science tasks involve complex web-based interactions: finding appropriate data available on the internet, synthesizing multimodal data from different locations…
DiscoSum: Discourse-aware News Summarization
Alexander Spangher, Tenghao Huang, Jialiang Gu +2
Recent advances in text summarization have predominantly leveraged large language models to generate concise summaries. However, language models often do not maintain long-term dis…
NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions
Ben Welsh, Naitian Zhou, Arda Kaz +2
Information prioritization plays an important role in how humans perceive and understand the world. Homepage layouts serve as a tangible proxy for this prioritization. In this work…
NewsEdits 2.0: Learning the Intentions Behind Updating News
Alexander Spangher, Kung-Hsiang Huang, Hyundong Cho +1
As events progress, news articles often update with new information: if we are not cautious, we risk propagating outdated facts. In this work, we hypothesize that linguistic featur…
PatentEdits: Framing Patent Novelty as Textual Entailment
Ryan Lee, Alexander Spangher, Xuezhe Ma
A patent must be deemed novel and non-obvious in order to be granted by the US Patent Office (USPTO). If it is not, a US patent examiner will cite the prior work, or prior art, tha…
Explaining Mixtures of Sources in News Articles
Alexander Spangher, James Youn, Matt DeButts +3
Human writers plan, then write. For large language models (LLMs) to play a role in longer-form article generation, we must understand the planning steps humans make before writing.…
NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews
Alexander Spangher, Michael Lu, Sriya Jeslyn Kalyan +3
Large Language Models (LLMs) have demonstrated impressive capabilities in generating coherent text but often struggle with grounding language and strategic dialogue. To address thi…
Are Large Language Models Capable of Generating Human-Level Narratives?
Yufei Tian, Tenghao Huang, Miri Liu +5
This paper investigates the capability of LLMs in storytelling, focusing on narrative development and plot progression. We introduce a novel computational framework to analyze narr…
Tracking the Newsworthiness of Public Documents
Alexander Spangher, Emilio Ferrara, Ben Welsh +3
Journalists must find stories in huge amounts of textual data (e.g. leaks, bills, press releases) as part of their jobs: determining when and why text becomes news can help us unde…