Cool Papers · cs.CL (papers.cool) · RSS 摘要

信源：Cool Papers · cs.CL (papers.cool) · https://papers.cool/arxiv/cs.CL/feed

• Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards — Long-horizon agents have drawn growing attention for their ability to work autonomously -- from hours to days -- on economically valuable tasks, a capability essential to automate…
• DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning — Reasoning models achieve strong performance through long chains of thought (CoT), but often spend more tokens than needed to solve a problem. Existing ways to shorten the CoT requ…
• Hybrid Reasoning Agents — How can we build an agent that thinks beyond human language, yet still acts through it in the external environment? Modern LLM agents still reason and interact through text, while…
• Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs — Pre-trained Large Language Model (LLMs) are effective on many tasks in zero-shot and few-shot settings. For machine translation of low-resource languages, the obvious options are …
• Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation — LLM ensemble gains are often measured against a single baseline, but the value attributed to additional candidates can change with the comparison used. We study an LLM aggregator …