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arXiv:2602.20816v1 Announce Type: new Abstract: The core learning signal used in language model distillation is the standard Kullback-Leibler (KL) divergence between the student and teacher …
arXiv:2602.20859v1 Announce Type: new Abstract: Financial prediction from long documents involves significant challenges, as actionable signals are often sparse and obscured by noise, and the …
arXiv:2602.20892v1 Announce Type: new Abstract: Today, Social networks such as Twitter are the most widely used platforms for communication of people. Analyzing this data has …
arXiv:2602.20945v1 Announce Type: new Abstract: Large Language Models (LLMs) consistently benefit from scaled Chain-of-Thought (CoT) reasoning, but also suffer from heavy computational overhead. To address …
arXiv:2602.20966v1 Announce Type: new Abstract: This article describes a novel language task, the Blackbird Language Matrices (BLM) task, inspired by intelligence tests, and illustrates the …
arXiv:2602.20973v1 Announce Type: new Abstract: To comprehensively evaluate the mathematical reasoning capabilities of Large Language Models (LLMs), researchers have introduced abundant mathematical reasoning datasets. However, …
arXiv:2602.20976v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly embedded in everyday decision-making, their safety responsibilities extend beyond reacting to explicit harmful …
arXiv:2602.21082v1 Announce Type: new Abstract: Customer-provided reviews have become an important source of information for business owners and other customers alike. However, effectively analyzing millions …
arXiv:2602.21103v1 Announce Type: new Abstract: Advanced reasoning typically requires Chain-of-Thought prompting, which is accurate but incurs prohibitive latency and substantial test-time inference costs. The standard …
arXiv:2602.21165v1 Announce Type: new Abstract: Patient-generated text such as secure messages, surveys, and interviews contains rich expressions of the patient voice (PV), reflecting communicative behaviors …
arXiv:2602.21193v1 Announce Type: new Abstract: Despite rapid recent progress in the terminal capabilities of large language models, the training data strategies behind state-of-the-art terminal agents …
arXiv:2602.20163v1 Announce Type: cross Abstract: Aphasia is an acquired language disorder caused by injury to the regions of the brain that are responsible for language. …