- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT2.3k papers
- Massachusetts Institute of TechnologyUS2.2k papers
- Purdue University West LafayetteUS2.1k papers
- The Ohio State UniversityUS2.1k papers
- Joint Institute for Nuclear ResearchRU2.1k papers
- University of RochesterUS2k papers
- Fermi National Accelerator LaboratoryUS2k papers
- University of FloridaUS2k papers
- Wayne State UniversityUS1.9k papers
- Centre National de la Recherche ScientifiqueFR1.9k papers
- Kyungpook National UniversityKR1.9k papers
- Johns Hopkins UniversityUS1.9k papers
11,686 papers
Emoception: Selective Affective Layer Fine-Tuning of Video Vision Transformers for Player Arousal Change Recognition From Gameplay Footage
Yi Xia, Ibrahim Khan, Mury Fajar Dewantoro +2
This article proposes Selective Affective Layer Fine-Tuning (SALFT), an efficient adaptation framework for Video Vision Transformers in player arousal recognition from gameplay. To…
Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning
Mantek Singh, Jeshwanth Challagundla, Siddharth Raina +1
We present an efficient method to distill reasoning capabilities into compact video-language models (VLMs) for video question answering (VideoQA). Our approach fine-tunes a 2B-para…
Precision Neutron Skins of Pb and Ca from Parity-Violating Electron Scattering
PREX Collaboration, D. Adhikari, H. Albataineh +100
We have measured the parity-violating elastic electron scattering asymmetry in the PREX and CREX experiments on Pb and Ca respectively; these are both doubly-mag…
SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts
Shyam Agarwal, Anmol Singhal, Travis Breaux +1
Spec-Driven Development (SDD) is a fast-emerging practice in which a structured natural-language specification, written by a developer, or (more often) drafted by an AI tool and th…
SNAD: enabling discovery in the era of big data
Maria Pruzhinskaya, Emille E. O. Ishida, Konstantin Malanchev +8
In the era of wide-field surveys and big data in astronomy, the SNAD team is exploiting the potential of modern datasets for discovering new, unforeseen, or rare astrophysical obje…
Demystifying and Improving Lazy Promotion in Cache Eviction
Qinghan Chen, Muhammad Haekal Muhyidin Al-Araby, Ziyue Qiu +3
Cache eviction algorithms play a critical role in the performance of modern data systems, yet their scalability is often limited by the high computational overhead associated with…