Self-contrast: Better reflection through inconsistent solving perspectives
The reflection capacity of Large Language Model (LLM) has garnered extensive attention. A
post-hoc prompting strategy, eg, reflexion and self-refine, refines LLM's response based on …
post-hoc prompting strategy, eg, reflexion and self-refine, refines LLM's response based on …
A review of advances in underwater humanoid robots for human-machine cooperation
Underwater humanoid robots (UHRs) have emerged as a significant area of interest in
robotics, with the potential to overcome the limitations of traditional underwater robots and …
robotics, with the potential to overcome the limitations of traditional underwater robots and …
Precedent-enhanced legal judgment prediction with llm and domain-model collaboration
Legal Judgment Prediction (LJP) has become an increasingly crucial task in Legal AI, ie,
predicting the judgment of the case in terms of case fact description. Precedents are the …
predicting the judgment of the case in terms of case fact description. Precedents are the …
Multi-view reasoning: Consistent contrastive learning for math word problem
Math word problem solver requires both precise relation reasoning about quantities in the
text and reliable generation for the diverse equation. Current sequence-to-tree or relation …
text and reliable generation for the diverse equation. Current sequence-to-tree or relation …
Agent-pro: Learning to evolve via policy-level reflection and optimization
Large Language Models exhibit robust problem-solving capabilities for diverse tasks.
However, most LLM-based agents are designed as specific task solvers with sophisticated …
However, most LLM-based agents are designed as specific task solvers with sophisticated …
An expression tree decoding strategy for mathematical equation generation
Generating mathematical equations from natural language requires an accurate
understanding of the relations among math expressions. Existing approaches can be …
understanding of the relations among math expressions. Existing approaches can be …
Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance
Autonomous obstacle avoidance is of vital importance for an intelligent agent such as a
mobile robot to navigate in its environment. Existing state-of-the-art methods train a spiking …
mobile robot to navigate in its environment. Existing state-of-the-art methods train a spiking …