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arXiv:2603.20432v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable progress in scaling to access massive contexts. However, the access is via the …
arXiv:2603.20441v1 Announce Type: new Abstract: Verification-guided self-improvement has recently emerged as a promising approach to improving the accuracy of large language model (LLM) outputs. However, …
arXiv:2603.20450v1 Announce Type: new Abstract: A number of scientific conferences and journals have recently enacted policies that prohibit LLM usage by peer reviewers, except for …
arXiv:2603.20466v1 Announce Type: new Abstract: Masked Diffusion Language Models (MDLMs) have emerged as a compelling non-autoregressive alternative to standard large language models; however, their application …
arXiv:2603.20494v1 Announce Type: new Abstract: The development of clinical natural language processing (NLP) systems is severely hampered by the sensitive nature of medical records, which …
arXiv:2603.20514v1 Announce Type: new Abstract: Large Language Models (LLMs) offer significant potential for delivering health information. However, their reliability in low-resource contexts remains uncertain. This …
arXiv:2603.20562v1 Announce Type: new Abstract: Large language models (LLMs) are now widely used as judges, yet their decisions can change under presentation choices that should …
arXiv:2603.20581v1 Announce Type: new Abstract: Social biases reflected in language are inherently shaped by cultural norms, which vary significantly across regions and lead to diverse …
arXiv:2603.20636v1 Announce Type: new Abstract: Detecting product price outliers is important for retail and e-commerce stores as erroneous or unexpectedly high prices adversely affect competitiveness, …
arXiv:2603.20640v1 Announce Type: new Abstract: Multi-Agent Debate has emerged as a promising framework for improving the reasoning quality of large language models through iterative inter-agent …
arXiv:2603.20642v1 Announce Type: new Abstract: How do transformer language models represent magnitude? Recent work disagrees: some find logarithmic spacing, others linear encoding, others per-digit circular …
arXiv:2603.20673v1 Announce Type: new Abstract: Retrieval-augmented language models can retrieve relevant evidence yet still commit to answers before explicitly checking whether the retrieved context supports …
