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20212026
most citedBrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation

87 citations · 170 across the 23 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.LG2026

PTGPO: Prefix Tree Group Policy Optimization

Ruolin Chen, Yang Li, Jihang Wang +4

Training language agents on long-horizon interactive tasks is challenging because sparse terminal rewards provide weak credit signals for intermediate actions. Existing group-based…

cs.NE2026

Rethinking Pairwise Token Interaction in Spiking Transformers

Sicheng Shen, Dongcheng Zhao, Zhiyuan Li +5

Spiking Transformers inherit token interaction mechanisms from conventional Transformers, yet their sparse binary representations fundamentally alter how token-to-token communicati…

cs.AI2026

ForesightSafety-SAGE:A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents

Lu Jia, Haibo Tong, Feifei Zhao +5

Large language models (LLMs) are increasingly evolving from simple text-based interaction systems into LLM agents that can maintain memory, use tools, access external environments,…

cs.AI2026

ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI

Haibo Tong, Feifei Zhao, Linghao Feng +18

Rapidly evolving AI exhibits increasingly strong autonomy and goal-directed capabilities, accompanied by derivative systemic risks that are more unpredictable, difficult to control…

cs.AR2026

FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control

Tenglong Li, Jindong Li, Guobin Shen +3

Spiking Neural Networks (SNNs) offer a biologically plausible learning mechanism through synaptic plasticity, enabling unsupervised adaptation without the computational overhead of…

cs.AI2026

CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models

Haibo Tong, Zeyang Yue, Feifei Zhao +6

Whether Large Language Models (LLMs) truly possess human-like Theory of Mind (ToM) capabilities has garnered increasing attention. However, existing benchmarks remain largely restr…