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arXiv:2603.04893v1 Announce Type: new Abstract: Diverse outputs in text generation are necessary for effective exploration in complex reasoning tasks, such as code generation and mathematical …
arXiv:2603.04897v1 Announce Type: new Abstract: Qualitative analysis of open-ended interviews plays a central role in ethnographic and economic research by uncovering individuals' values, motivations, and …
arXiv:2603.04921v1 Announce Type: new Abstract: This paper presents a novel agentic LLM pipeline for SemEval-2026 Task 10 that jointly extracts psycholinguistic conspiracy markers and detects …
arXiv:2603.04933v1 Announce Type: new Abstract: In this paper, we present AILS-NTUA system for Track-A of SemEval-2026 Task 3 on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which …
arXiv:2603.04945v1 Announce Type: new Abstract: Training automatic speech recognition (ASR) models increasingly relies on decentralized federated learning to ensure data privacy and accessibility, producing multiple …
arXiv:2603.04964v1 Announce Type: new Abstract: To obtain a language model for a target domain (e.g. math), the current paradigm is to pre-train on a vast …
arXiv:2603.04968v1 Announce Type: new Abstract: Preference alignment is an essential step in adapting large language models (LLMs) to human values, but existing approaches typically depend …
arXiv:2603.04969v1 Announce Type: new Abstract: Multi-party conversation generation, such as smart reply and collaborative assistants, is an increasingly important capability of generative AI, yet its …
arXiv:2603.04974v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable success across diverse natural language tasks, yet the reward models employed for aligning …
arXiv:2603.04992v1 Announce Type: new Abstract: The safety evaluation of large language models (LLMs) remains largely centered on English, leaving non-English languages and culturally grounded risks …
arXiv:2603.04418v1 Announce Type: new Abstract: Standard direct forecasting models typically rely on point-wise objectives such as Mean Squared Error, which fail to capture the complex …
arXiv:2603.04420v1 Announce Type: new Abstract: Critical transitions are the abrupt shifts between qualitatively different states of a system, and they are crucial to understanding tipping …