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cs.CL2026
Unsure but Certain: Uncovering the Representation-Confidence Gap in Diffusion Language Models
Saurabh Yadav, Badri Narayana Patro, Vijay Srinivas Agneeswaran
Diffusion language models use broad context to create text, suggesting they might handle input noise better than standard models. Testing reveals this is only partially true. Inter…
cs.CL2018
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar +1
In this paper, we propose a method for obtaining sentence-level embeddings. While the problem of securing word-level embeddings is very well studied, we propose a novel method for…