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20242026
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5 papers · 1 filter

cs.AI2026

Aligning Language Model Benchmarks with Pairwise Preferences

Marco Gutierrez, Xinyi Leng, Hannah Cyberey +3

Language model benchmarks are pervasive and computationally-efficient proxies for real-world performance. However, many recent works find that benchmarks often fail to predict real…

cs.AI2026

Inferring Events from Time Series using Language Models

Mingtian Tan, Mike A. Merrill, Zack Gottesman +3

A common goal in analyzing time series data is to understand how events cause observed variations. We study whether Large Language Models (LLMs) can infer natural language events a…

cs.AI2025

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing

Dongliang Guo, Mengxuan Hu, Zihan Guan +2

Large multi-modal models inevitably decay over time as facts update and previously learned information becomes outdated. Traditional approaches such as fine-tuning are often imprac…

cs.AI2024

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing

Dongliang Guo, Mengxuan Hu, Zihan Guan +3

Large pre-trained models have achieved notable success across a range of downstream tasks. However, recent research shows that a type of adversarial attack ( backdo…

cs.AI2024

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Shenghuan Sun, Alexander Schubert, Gregory M. Goldgof +4

Vision-Language Models (VLM) can support clinicians by analyzing medical images and engaging in natural language interactions to assist in diagnostic and treatment tasks. However,…