most citedPRewrite: Prompt Rewriting with Reinforcement Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2025

FlexSAN: A Flexible Regenerative Satellite Access Network Architecture

Weize Kong, Chaoqun You, Xuming Pei +1

The regenerative satellite access network (SAN) architecture deploys next-generation NodeB (gNBs) on satellites to enable enhanced network management capabilities. It supports two…

cs.CL2025

Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering

Alireza Salemi, Cheng Li, Mingyang Zhang +7

Personalization is well studied in search and recommendation, but personalized question answering remains underexplored due to challenges in inferring preferences from long, noisy,…

cs.CL2025

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

MiniMax, :, Aili Chen +125

We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combin…

cs.CL2025

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation

Alireza Salemi, Cheng Li, Mingyang Zhang +6

Personalized text generation requires a unique ability of large language models (LLMs) to learn from context that they often do not encounter during their standard training. One wa…

cs.CL2024

Bridging the Preference Gap between Retrievers and LLMs

Zixuan Ke, Weize Kong, Cheng Li +3

Large Language Models (LLMs) have demonstrated superior results across a wide range of tasks, and Retrieval-augmented Generation (RAG) is an effective way to enhance the performanc…

cs.AI2024★ 1 cited

PRewrite: Prompt Rewriting with Reinforcement Learning

Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang +2

Prompt engineering is critical for the development of LLM-based applications. However, it is usually done manually in a "trial and error" fashion that can be time consuming, ineffe…