Zobrazeno 1 - 10
of 6 609
pro vyhledávání: '"Reshmi, A."'
Autor:
Ghosh, Reshmi, Seetharaman, Rahul, Wadhwa, Hitesh, Aggarwal, Somyaa, Basu, Samyadeep, Srinivasan, Soundararajan, Zhao, Wenlong, Chaudhari, Shreyas, Aghazadeh, Ehsan
Retrieval Augmented Generation (RAG) is a widely used approach for leveraging external context in several natural language applications such as question answering and information retrieval. Yet, the exact nature in which a Language Model (LM) leverag
Externí odkaz:
http://arxiv.org/abs/2410.00857
Autor:
Du, Xuefeng, Ghosh, Reshmi, Sim, Robert, Salem, Ahmed, Carvalho, Vitor, Lawton, Emily, Li, Yixuan, Stokes, Jack W.
Vision-language models (VLMs) are essential for contextual understanding of both visual and textual information. However, their vulnerability to adversarially manipulated inputs presents significant risks, leading to compromised outputs and raising c
Externí odkaz:
http://arxiv.org/abs/2410.00296
As AI systems become more advanced, ensuring their alignment with a diverse range of individuals and societal values becomes increasingly critical. But how can we capture fundamental human values and assess the degree to which AI systems align with t
Externí odkaz:
http://arxiv.org/abs/2409.09586
Autor:
Merdy, Christian Le, Reshmi, M. N.
Let $T\colon H\to H$ be a bounded operator on Hilbert space. We say that $T$ has a polygonal type if there exists an open convex polygon $\Delta\subset {\mathbb D}$, with $\overline{\Delta}\cap{\mathbb T}\neq\emptyset$, such that the spectrum $\sigma
Externí odkaz:
http://arxiv.org/abs/2407.12321
Autor:
Wadhwa, Hitesh, Seetharaman, Rahul, Aggarwal, Somyaa, Ghosh, Reshmi, Basu, Samyadeep, Srinivasan, Soundararajan, Zhao, Wenlong, Chaudhari, Shreyas, Aghazadeh, Ehsan
Retrieval Augmented Generation (RAG) enriches the ability of language models to reason using external context to augment responses for a given user prompt. This approach has risen in popularity due to practical applications in various applications of
Externí odkaz:
http://arxiv.org/abs/2406.12824
Autor:
Shen, Hua, Knearem, Tiffany, Ghosh, Reshmi, Alkiek, Kenan, Krishna, Kundan, Liu, Yachuan, Ma, Ziqiao, Petridis, Savvas, Peng, Yi-Hao, Qiwei, Li, Rakshit, Sushrita, Si, Chenglei, Xie, Yutong, Bigham, Jeffrey P., Bentley, Frank, Chai, Joyce, Lipton, Zachary, Mei, Qiaozhu, Mihalcea, Rada, Terry, Michael, Yang, Diyi, Morris, Meredith Ringel, Resnick, Paul, Jurgens, David
Recent advancements in general-purpose AI have highlighted the importance of guiding AI systems towards the intended goals, ethical principles, and values of individuals and groups, a concept broadly recognized as alignment. However, the lack of clar
Externí odkaz:
http://arxiv.org/abs/2406.09264
Autor:
Debenedetti, Edoardo, Rando, Javier, Paleka, Daniel, Florin, Silaghi Fineas, Albastroiu, Dragos, Cohen, Niv, Lemberg, Yuval, Ghosh, Reshmi, Wen, Rui, Salem, Ahmed, Cherubin, Giovanni, Zanella-Beguelin, Santiago, Schmid, Robin, Klemm, Victor, Miki, Takahiro, Li, Chenhao, Kraft, Stefan, Fritz, Mario, Tramèr, Florian, Abdelnabi, Sahar, Schönherr, Lea
Large language model systems face important security risks from maliciously crafted messages that aim to overwrite the system's original instructions or leak private data. To study this problem, we organized a capture-the-flag competition at IEEE SaT
Externí odkaz:
http://arxiv.org/abs/2406.07954
Performance modeling is a key issue in queuing theory and operation research. It is well-known that the length of a queue that awaits service or the time spent by a job in a queue depends not only on the service rate, but also crucially on the fluctu
Externí odkaz:
http://arxiv.org/abs/2404.08961
In recent years, climate change repercussions have increasingly captured public interest. Consequently, corporations are emphasizing their environmental efforts in sustainability reports to bolster their public image. Yet, the absence of stringent re
Externí odkaz:
http://arxiv.org/abs/2311.01469
Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models
Autor:
Ghosh, Reshmi, Kajal, Harjeet Singh, Kamath, Sharanya, Shrivastava, Dhuri, Basu, Samyadeep, Zeng, Hansi, Srinivasan, Soundararajan
Breaking down a document or a conversation into multiple contiguous segments based on its semantic structure is an important and challenging problem in NLP, which can assist many downstream tasks. However, current works on topic segmentation often fo
Externí odkaz:
http://arxiv.org/abs/2310.17120