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20242026
most citedGenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning

2 citations · 5 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

MARTI-MARS: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation

Shijie Wang, Pengfei Li, Yikun Fu +21

While the complex reasoning capability of Large Language Models (LLMs) has attracted significant attention, single-agent systems often encounter inherent performance ceilings in co…

cs.LG2025

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration

Junqi Gao, Zhichang Guo, Dazhi Zhang +5

Heterogeneous Large Language Model (LLM) fusion integrates the strengths of multiple source LLMs with different architectures into a target LLM with low computational overhead. Whi…

cs.LG2024

Fast and Slow Gradient Approximation for Binary Neural Network Optimization

Xinquan Chen, Junqi Gao, Biqing Qi +4

Binary Neural Networks (BNNs) have garnered significant attention due to their immense potential for deployment on edge devices. However, the non-differentiability of the quantizat…

cs.LG2024

An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning

Dong Li, Aijia Zhang, Junqi Gao +1

Incremental graph learning has gained significant attention for its ability to address the catastrophic forgetting problem in graph representation learning. However, traditional me…

cs.LG20241 cited

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability

Junqi Gao, Biqing Qi, Yao Li +4

The transferability of adversarial perturbations provides an effective shortcut for black-box attacks. Targeted perturbations have greater practicality but are more difficult to tr…

cs.LG2024

SMR: State Memory Replay for Long Sequence Modeling

Biqing Qi, Junqi Gao, Kaiyan Zhang +4

Despite the promising performance of state space models (SSMs) in long sequence modeling, limitations still exist. Advanced SSMs like S5 and S6 (Mamba) in addressing non-uniform sa…