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20232026
most citedSentiment Analysis in the Era of Large Language Models: A Reality Check

56 citations · 84 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

MiroMind Team, Song Bai, Lidong Bing +52

We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale…

cs.AI2025

First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Liwei Kang, Yue Deng, Yao Xiao +3

Large language models have recently demonstrated significant gains in reasoning ability, often attributed to their capacity to generate longer chains of thought and engage in refle…

cs.CL2025

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization

Xingxuan Li, Yao Xiao, Dianwen Ng +15

Large language models have recently evolved from fluent text generation to advanced reasoning across diverse domains, giving rise to reasoning language models. Among these domains,…

cs.CL2025

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

Chong Zhang, Yue Deng, Xiang Lin +8

The recent development of reasoning language models (RLMs) represents a novel evolution in large language models. In particular, the recent release of DeepSeek-R1 has generated wid…

cs.CL2025

Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers

Yiran Zhao, Chaoqun Liu, Yue Deng +8

Large language models (LLMs) have revolutionized natural language processing (NLP), yet open-source multilingual LLMs remain scarce, with existing models often limited in language…