Zobrazeno 1 - 10
of 2 575
pro vyhledávání: '"Sreeram, P."'
In this paper, we find necessary and sufficient conditions for countable fan tightness and countable strong fan tightness of the space (briefly, $C_{p}(X,G)$) of all group-valued continuous functions endowed with the topology of pointwise convergence
Externí odkaz:
http://arxiv.org/abs/2412.02199
Autor:
Wijesiriwardene, Thilini, Wickramarachchi, Ruwan, Vennam, Sreeram, Jain, Vinija, Chadha, Aman, Das, Amitava, Kumaraguru, Ponnurangam, Sheth, Amit
Making analogies is fundamental to cognition. Proportional analogies, which consist of four terms, are often used to assess linguistic and cognitive abilities. For instance, completing analogies like "Oxygen is to Gas as is to " requir
Externí odkaz:
http://arxiv.org/abs/2412.00869
The deployment of autonomous vehicles controlled by machine learning techniques requires extensive testing in diverse real-world environments, robust handling of edge cases and out-of-distribution scenarios, and comprehensive safety validation to ens
Externí odkaz:
http://arxiv.org/abs/2411.16554
Thinking Tokens (TT) have been proposed as an unsupervised method to facilitate reasoning in language models. However, despite their conceptual appeal, our findings show that TTs marginally improves performance and consistently underperforms compared
Externí odkaz:
http://arxiv.org/abs/2411.11371
Autor:
R, Karthik, Srivastava, Ashutosh, Midya, Soumen, Shanu, Akbar, Slathia, Surbhi, Vandana, Sajith, Sreeram, Punathil Raman, Kar, Swastik, Glavin, Nicholas R., Roy, Ajit K, Singh, Abhishek Kumar, Tiwary, Chandra Sekhar
Miniaturization of electronic components has led to overheating, increasing power consumption and causing early circuit failures. Conventional heat dissipation methods are becoming inadequate due to limited surface area and higher short-circuit risks
Externí odkaz:
http://arxiv.org/abs/2411.10030
We present a method to compress the final linear layer of language models, reducing memory usage by up to 3.4x without significant performance loss. By grouping tokens based on Byte Pair Encoding (BPE) merges, we prevent materialization of the memory
Externí odkaz:
http://arxiv.org/abs/2411.06371
The maximum unitarily extractable work from a quantum system -- ergotropy -- is a useful and emerging idea in quantum thermodynamics. In this work, ergotropy is studied in quantum chaotic systems to illustrate the effects arising from chaotic dynamic
Externí odkaz:
http://arxiv.org/abs/2409.16587
Autor:
PG, Sreeram, Sahu, Abinash, Varikuti, Naga Dileep, Das, Bishal Kumar, Manna, Sourav, Madhok, Vaibhav
Signatures of chaos can be understood by studying quantum systems whose classical counterpart is chaotic. However, the concepts of integrability, non-integrability and chaos extend to systems without a classical analogue. Here, we first review the cl
Externí odkaz:
http://arxiv.org/abs/2409.14332
Gramian-based model order reduction methods, like balanced truncation, and interpolation-based methods, such as H2-optimal reduction, are two important types of model reduction algorithms. Although both are known for their accuracy, they are often se
Externí odkaz:
http://arxiv.org/abs/2409.13358
Most existing Question Answering Datasets (QuADs) primarily focus on factoid-based short-context Question Answering (QA) in high-resource languages. However, the scope of such datasets for low-resource languages remains limited, with only a few works
Externí odkaz:
http://arxiv.org/abs/2408.10604