Zobrazeno 1 - 10
of 6 507
pro vyhledávání: '"Bali, P."'
Autor:
Hamna, Sudharsan, Deepthi, Seth, Agrima, Budhiraja, Ritvik, Khullar, Deepika, Jain, Vyshak, Bali, Kalika, Vashistha, Aditya, Segal, Sameer
Large Language Models (LLMs) and Text-To-Image (T2I) models have demonstrated the ability to generate compelling text and visual stories. However, their outputs are predominantly aligned with the sensibilities of the Global North, often resulting in
Externí odkaz:
http://arxiv.org/abs/2410.19419
Towards Inducing Document-Level Abilities in Standard Multilingual Neural Machine Translation Models
Neural Machine Translation (NMT) models have traditionally used Sinusoidal Positional Embeddings (PEs), which often struggle to capture long-range dependencies and are less efficient for handling extended context or document-level translation tasks.
Externí odkaz:
http://arxiv.org/abs/2408.11382
The rapid decline in groundwater around the world poses a significant challenge to sustainable agriculture. To address this issue, agricultural managed aquifer recharge (Ag-MAR) is proposed to recharge the aquifer by artificially flooding agricultura
Externí odkaz:
http://arxiv.org/abs/2407.01005
Autor:
Mukherjee, Sagnik, Adilazuarda, Muhammad Farid, Sitaram, Sunayana, Bali, Kalika, Aji, Alham Fikri, Choudhury, Monojit
Socio-demographic prompting is a commonly employed approach to study cultural biases in LLMs as well as for aligning models to certain cultures. In this paper, we systematically probe four LLMs (Llama 3, Mistral v0.2, GPT-3.5 Turbo and GPT-4) with pr
Externí odkaz:
http://arxiv.org/abs/2406.11661
Autor:
Ochieng, Millicent, Gumma, Varun, Sitaram, Sunayana, Wang, Jindong, Chaudhary, Vishrav, Ronen, Keshet, Bali, Kalika, O'Neill, Jacki
The deployment of Large Language Models (LLMs) in real-world applications presents both opportunities and challenges, particularly in multilingual and code-mixed communication settings. This research evaluates the performance of seven leading LLMs in
Externí odkaz:
http://arxiv.org/abs/2406.00343
Nucleon weak matrix elements can be extracted from nucleon correlation functions with lattice QCD simulations. The signal-to-noise ratio prohibits the analysis at large source-sink separations and as a consequence, excited state contamination affects
Externí odkaz:
http://arxiv.org/abs/2405.20875
Autor:
Kumar, Somnath, Balloli, Vaibhav, Ranjit, Mercy, Ahuja, Kabir, Ganu, Tanuja, Sitaram, Sunayana, Bali, Kalika, Nambi, Akshay
Large language models (LLMs) are at the forefront of transforming numerous domains globally. However, their inclusivity and effectiveness remain limited for non-Latin scripts and low-resource languages. This paper tackles the imperative challenge of
Externí odkaz:
http://arxiv.org/abs/2405.18359
Autor:
Singh, Gaurav, Bali, Kavitesh Kumar
This paper explores the seamless integration of Generative AI (GenAI) and Evolutionary Algorithms (EAs) within the domain of large-scale multi-objective optimization. Focusing on the transformative role of Large Language Models (LLMs), our study inve
Externí odkaz:
http://arxiv.org/abs/2405.07212
Autor:
Hada, Rishav, Husain, Safiya, Gumma, Varun, Diddee, Harshita, Yadavalli, Aditya, Seth, Agrima, Kulkarni, Nidhi, Gadiraju, Ujwal, Vashistha, Aditya, Seshadri, Vivek, Bali, Kalika
Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South. This paper presents the first comprehensive study delving into the n
Externí odkaz:
http://arxiv.org/abs/2405.06346
Autor:
Hou, Yaqing, Ma, Wenqiang, Gupta, Abhishek, Bali, Kavitesh Kumar, Ge, Hongwei, Zhang, Qiang, Coello, Carlos A. Coello, Ong, Yew-Soon
In recent years, the field of Transfer Evolutionary Optimization (TrEO) has witnessed substantial growth, fueled by the realization of its profound impact on solving complex problems. Numerous algorithms have emerged to address the challenges posed b
Externí odkaz:
http://arxiv.org/abs/2404.13377