6 citations · 13 across the 12 of their papers we have counts for
5 papers · 1 filter
Modeling News Interactions and Influence for Financial Market Prediction
Mengyu Wang, Shay B. Cohen, Tiejun Ma
The diffusion of financial news into market prices is a complex process, making it challenging to evaluate the connections between news events and market movements. This paper intr…
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen
Mathematical reasoning remains a significant challenge for large language models (LLMs), despite progress in prompting techniques such as Chain-of-Thought (CoT). We present **Chain…
What can Large Language Models Capture about Code Functional Equivalence?
Nickil Maveli, Antonio Vergari, Shay B. Cohen
Code-LLMs, LLMs pre-trained on large code corpora, have shown great progress in learning rich representations of the structure and syntax of code, successfully using it to generate…
Evaluating Automatic Metrics with Incremental Machine Translation Systems
Guojun Wu, Shay B. Cohen, Rico Sennrich
We introduce a dataset comprising commercial machine translations, gathered weekly over six years across 12 translation directions. Since human A/B testing is commonly used, we ass…
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
Balint Gyevnar, Stephanie Droop, Tadeg Quillien +4
It is often argued that effective human-centered explainable artificial intelligence (XAI) should resemble human reasoning. However, empirical investigations of how concepts from c…