4 papers
Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
Wei-Lin Chen, Liqian Peng, Tian Tan +5
Large language models (LLMs) have demonstrated impressive reasoning capabilities by scaling test-time compute via long Chain-of-Thought (CoT). However, recent findings suggest that…
LexPro-1.0 Technical Report
Haotian Chen, Yanyu Xu, Boyan Wang +5
In this report, we introduce our first-generation reasoning model, LexPro-1.0, a large language model designed for the highly specialized Chinese legal domain, offering comprehensi…
Returning to the Start: Generating Narratives with Related Endpoints
Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
Human writers often bookend their writing with ending sentences that relate back to the beginning sentences in order to compose a satisfying narrative that "closes the loop." Motiv…
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization
Sangwoo Cho, Kaiqiang Song, Chao Zhao +2
Multi-turn dialogues are characterized by their extended length and the presence of turn-taking conversations. Traditional language models often overlook the distinct features of t…