AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source…
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Predictionby Liang Wang, Qiang Liu, Shaozhen Liu,…
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learningby Yeachan Kim, Junho Kim,…
Is Multiple Object Tracking a Matter of Specialization?by Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo…
Adapting Language Models via Token Translationby Zhili Feng, Tanya Marwah, Nicolo Fusi, David Alvarez-Melis, Lester…
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Modelsby Huancheng Chen, Jingtao Li, Nidham Gazagnadou,…
Right this way: Can VLMs Guide Us to See More to Answer Questions?by Li Liu,…
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptationby Bohan Lyu,…
Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Modelsby Donghoon Kim, Gusang…