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pro vyhledávání: '"A., Reshmi"'
Ensuring security for highly dynamic peer-to-peer (P2P) networks has always been a challenge, especially for services like online transactions and smart devices. These networks experience high churn rates, making it difficult to maintain appropriate
Externí odkaz:
http://arxiv.org/abs/2412.03709
SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text
Autor:
Ghosh, Reshmi, Yao, Tianyi, Chen, Lizzy, Hasan, Sadid, Chen, Tianwei, Bernal, Dario, Jiao, Huitian, Hossain, H M Sajjad
Large Language Model (LLM) integrations into applications like Microsoft365 suite and Google Workspace for creating/processing documents, emails, presentations, etc. has led to considerable enhancements in productivity and time savings. But as these
Externí odkaz:
http://arxiv.org/abs/2411.16077
Autor:
Woo, Jooyun, Mori, Kaya, Hailey, Charles J., Spira-Savett, Elizabeth, Bamba, Aya, Grefenstette, Brian W., Humensky, Thomas B., Mukherjee, Reshmi, Safi-Harb, Samar, Temim, Tea, Tsuji, Naomi
Young supernova remnants (SNRs) are believed to be the origin of energetic cosmic rays (CRs) below the "knee" of their spectrum at $\sim3$ petaelectronvolt (PeV, $10^{15}$ eV). Nevertheless, the precise location, duration, and operation of CR acceler
Externí odkaz:
http://arxiv.org/abs/2410.16522
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