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20212026
most citedSmall Effect Sizes in Malware Detection? Make Harder Train/Test Splits!

4 citations · 13 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam

Michael Majurski, Cynthia Matuszek

How carefully and unambiguously a question is phrased has a profound impact on the quality of the response, for Language Models (LMs) as well as people. While model capabilities co…

cs.CL2026

Limited Linguistic Diversity in Embodied AI Datasets

Selma Wanna, Agnes Luhtaru, Jonathan Salfity +4

Language plays a critical role in Vision-Language-Action (VLA) models, yet the linguistic characteristics of the datasets used to train and evaluate these systems remain poorly doc…

cs.CL2025★ 1 cited

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization

Ryan C. Barron, Maksim E. Eren, Olga M. Serafimova +2

Agentic Generative AI, powered by Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG), Knowledge Graphs (KGs), and Vector Stores (VSs), represents a transformati…

cs.CL2024★ 1 cited

Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization

Ryan C. Barron, Ves Grantcharov, Selma Wanna +8

Large Language Models (LLMs) are pre-trained on large-scale corpora and excel in numerous general natural language processing (NLP) tasks, such as question answering (QA). Despite…

cs.CL2024

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20

The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…

cs.CL2021

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff +2

Learning to understand grounded language, which connects natural language to percepts, is a critical research area. Prior work in grounded language acquisition has focused primaril…