Zobrazeno 1 - 10
of 10 777
pro vyhledávání: '"P., Anoop"'
Autor:
Mishra, Vaibhav, Singh, Somaditya, Ahlawat, Dhruv, Zaki, Mohd, Bihani, Vaibhav, Grover, Hargun Singh, Mishra, Biswajit, Miret, Santiago, Mausam, Krishnan, N. M. Anoop
Materials discovery and development are critical for addressing global challenges. Yet, the exponential growth in materials science literature comprising vast amounts of textual data has created significant bottlenecks in knowledge extraction, synthe
Externí odkaz:
http://arxiv.org/abs/2412.09560
Autor:
Jain, Neel, Shrivastava, Aditya, Zhu, Chenyang, Liu, Daben, Samuel, Alfy, Panda, Ashwinee, Kumar, Anoop, Goldblum, Micah, Goldstein, Tom
A key component of building safe and reliable language models is enabling the models to appropriately refuse to follow certain instructions or answer certain questions. We may want models to output refusal messages for various categories of user quer
Externí odkaz:
http://arxiv.org/abs/2412.06748
We demonstrate theoretically the ability to control non-relativistic magnonic and electronic spin splitting by manipulating phonon modes. Using MnF$_2$ as a representative material, exhibiting non-relativistic spin splitting in its electronic bands,
Externí odkaz:
http://arxiv.org/abs/2412.04934
Autor:
Suryanarayanan, Sanjay, Song, Haiyue, Khan, Mohammed Safi Ur Rahman, Kunchukuttan, Anoop, Khapra, Mitesh M., Dabre, Raj
Mining parallel document pairs poses a significant challenge because existing sentence embedding models often have limited context windows, preventing them from effectively capturing document-level information. Another overlooked issue is the lack of
Externí odkaz:
http://arxiv.org/abs/2411.19096
Assembling furniture amounts to solving the discrete-continuous optimization task of selecting the furniture parts to assemble and estimating their connecting poses in a physically realistic manner. The problem is hampered by its combinatorially larg
Externí odkaz:
http://arxiv.org/abs/2411.18011
Autor:
Alampara, Nawaf, Schilling-Wilhelmi, Mara, Ríos-García, Martiño, Mandal, Indrajeet, Khetarpal, Pranav, Grover, Hargun Singh, Krishnan, N. M. Anoop, Jablonka, Kevin Maik
Recent advancements in artificial intelligence have sparked interest in scientific assistants that could support researchers across the full spectrum of scientific workflows, from literature review to experimental design and data analysis. A key capa
Externí odkaz:
http://arxiv.org/abs/2411.16955
Autor:
Khan, Redwan Ibne Seraj, Jain, Kunal, Shen, Haiying, Mallick, Ankur, Parayil, Anjaly, Kulkarni, Anoop, Kofsky, Steve, Choudhary, Pankhuri, Amant, Renèe St., Wang, Rujia, Cheng, Yue, Butt, Ali R., Rühle, Victor, Bansal, Chetan, Rajmohan, Saravan
In a multi-tenant large language model (LLM) serving platform hosting diverse applications, some users may submit an excessive number of requests, causing the service to become unavailable to other users and creating unfairness. Existing fairness app
Externí odkaz:
http://arxiv.org/abs/2411.15997
Autor:
Kuhar, Sachit, Ahmad, Wasi Uddin, Wang, Zijian, Jain, Nihal, Qian, Haifeng, Ray, Baishakhi, Ramanathan, Murali Krishna, Ma, Xiaofei, Deoras, Anoop
Recent advancements in code completion models have primarily focused on local file contexts. However, these studies do not fully capture the complexity of real-world software development, which often requires the use of rapidly-evolving public librar
Externí odkaz:
http://arxiv.org/abs/2412.04478
Physical reasoning is an important skill needed for robotic agents when operating in the real world. However, solving such reasoning problems often involves hypothesizing and reflecting over complex multi-body interactions under the effect of a multi
Externí odkaz:
http://arxiv.org/abs/2411.08027
Autor:
Gao, Yanjun, Myers, Skatje, Chen, Shan, Dligach, Dmitriy, Miller, Timothy A, Bitterman, Danielle, Chen, Guanhua, Mayampurath, Anoop, Churpek, Matthew, Afshar, Majid
Large language models (LLMs) are being explored for diagnostic decision support, yet their ability to estimate pre-test probabilities, vital for clinical decision-making, remains limited. This study evaluates two LLMs, Mistral-7B and Llama3-70B, usin
Externí odkaz:
http://arxiv.org/abs/2411.04962