From the 4 of 162 papers with an AI index.
266 citations
- California Institute of TechnologyUS18 papers
- University of ArizonaUS18 papers
- Space Telescope Science InstituteUS17 papers
- Johns Hopkins UniversityUS16 papers
- Massachusetts Institute of TechnologyUS16 papers
- University of California, BerkeleyUS15 papers
- Center for Astrophysics Harvard & SmithsonianUS14 papers
- University of ChicagoUS14 papers
- Centre National de la Recherche ScientifiqueFR13 papers
- Goddard Space Flight CenterUS12 papers
- The University of Texas at AustinUS12 papers
- Université Paris-SaclayFR12 papers
6 papers · 1 filter
Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know"
Dhruv Madhwal, Lyuxin David Zhang, Dan Roth +2
Large language models often struggle to recognize their knowledge limits in closed-book question answering, leading to confident hallucinations. While decomposed prompting is typic…
Evaluating Adaptive Personalization of Educational Readings with Simulated Learners
Ryan T. Woo, Anmol Rao, Aryan Keluskar +1
We present a framework for evaluating adaptive personalization of educational reading materials with theory-grounded simulated learners. The system builds a learning-objective and…
NLP needs Diversity outside of 'Diversity'
Joshua Tint
This position paper argues that recent progress with diversity in NLP is disproportionately concentrated on a small number of areas surrounding fairness. We further argue that this…
A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis
Muhammad Imran, Olga Kellert, Carlos Gómez-RodrÃguez
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content. Syntactic pars…
Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems
Elham Tajik, Conrad Borchers, Bahar Shahrokhian +4
Learning analytics researchers often analyze qualitative student data such as coded annotations or interview transcripts to understand learning processes. With the rise of generati…
QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA
Jacob Dineen, Aswin RRV, Qin Liu +8
Alignment of large language models (LLMs) with principles like helpfulness, honesty, and harmlessness typically relies on scalar rewards that obscure which objectives drive the tra…