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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 …
arXiv:2603.20695v1 Announce Type: new Abstract: This paper investigates morphosyntactic covariation in Brazilian Portuguese (BP) to assess whether dialectal origin can be inferred from the combined …
arXiv:2603.20730v1 Announce Type: new Abstract: Existing prompting paradigms structure LLM reasoning in limited topologies: Chain-of-Thought (CoT) produces linear traces, while Tree-of-Thought (ToT) performs branching search. …
arXiv:2603.20732v1 Announce Type: new Abstract: Decoder-only language models can be adapted to diverse tasks through instruction finetuning, but the extent to which this generalizes at …
arXiv:2603.20781v1 Announce Type: new Abstract: With the rapid development of large language models (LLMs), more and more researchers have paid attention to information extraction based …
arXiv:2603.20795v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as knowledge bases, but keeping them up to date requires targeted knowledge editing …
arXiv:2603.20799v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards (RLVR) stimulates the thinking processes of large language models (LLMs), substantially enhancing their reasoning abilities …
arXiv:2603.20807v1 Announce Type: new Abstract: Benchmarks are the de facto standard for tracking progress in large language models (LLMs), yet static test sets can rapidly …
arXiv:2603.20843v1 Announce Type: new Abstract: Long-context language modeling is commonly framed as a scalability challenge of token-level attention, yet local-to-global information structuring remains largely implicit …
arXiv:2603.20851v1 Announce Type: new Abstract: ChatGPT has demonstrated remarkable capabilities on both poetry generation and translation, yet its ability to truly understand poetry remains unexplored. …