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2020 – today
- 2025
[i8]Jasper Timm, Chetan Talele, Jacob Haimes
:
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics. CoRR abs/2501.17273 (2025)- [i7]Neel Jay, Hieu Minh Nguyen, Trung-Dung Hoang, Jacob Haimes:
Evaluating Precise Geolocation Inference Capabilities of Vision Language Models. CoRR abs/2502.14412 (2025) - [i6]Jaime Raldua Veuthey, Zainab Ali Majid, Suhas Hariharan, Jacob Haimes:
MEQA: A Meta-Evaluation Framework for Question & Answer LLM Benchmarks. CoRR abs/2504.14039 (2025) - [i5]Benjamin Sturgeon, Daniel Samuelson, Jacob Haimes, Jacy Reese Anthis:
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants. CoRR abs/2509.08494 (2025) - [i4]Eitan Sprejer, Fernando Avalos, Augusto Bernardi, Jose Pedro Brito de Azevedo Faustino, Jacob Haimes, Narmeen Oozeer:
Approximating Human Preferences Using a Multi-Judge Learned System. CoRR abs/2510.25884 (2025) - 2024
- [i3]Jacob Haimes, Cenny Wenner, Kunvar Thaman, Vassil Tashev, Clement Neo, Esben Kran, Jason Schreiber:
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts. CoRR abs/2410.09247 (2024) - [i2]Suhas Hariharan, Zainab Ali Majid, Jaime Raldua Veuthey, Jacob Haimes:
Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique. CoRR abs/2411.08813 (2024) - [i1]Cameron Tice, Philipp Alexander Kreer, Nathan Helm-Burger, Prithviraj Singh Shahani, Fedor Ryzhenkov, Jacob Haimes, Felix Hofstätter, Teun van der Weij:
Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models. CoRR abs/2412.01784 (2024) - 2022
- [c2]Lawrence Smith, Travis Hainsworth, Jacob Haimes, Robert MacCurdy:
Automated Synthesis of Bending Pneumatic Soft Actuators. RoboSoft 2022: 358-363 - [c1]Lawrence Smith, Jacob Haimes, Robert MacCurdy:
Stretching the Boundary: Shell Finite Elements for Pneumatic Soft Actuators. RoboSoft 2022: 403-408
Coauthor Index
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