· ai
[Paper] MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning
Ensuring the safety of embodied AI agents during task planning is critical for real-world deployment, especially in household environments where dangerous instr...
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- · devops
[Paper] MemFine: Memory-Aware Fine-Grained Scheduling for MoE Training
The training of large-scale Mixture of Experts (MoE) models faces a critical memory bottleneck due to severe load imbalance caused by dynamic token routing. Thi...
- · ai
[Paper] SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioning
Remote sensing change captioning is an emerging and popular research task that aims to describe, in natural language, the content of interest that has changed b...
- · ai
[Paper] Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
Text-attributed graphs require models to effectively combine strong textual understanding with structurally informed reasoning. Existing approaches either rely ...
- · ai
[Paper] SUPN: Shallow Universal Polynomial Networks
Deep neural networks (DNNs) and Kolmogorov-Arnold networks (KANs) are popular methods for function approximation due to their flexibility and expressivity. Howe...
- · ai
[Paper] Subjective Depth and Timescale Transformers: Learning Where and When to Compute
The rigid, uniform allocation of computation in standard Transformer (TF) architectures can limit their efficiency and scalability, particularly for large-scale...
- · ai
[Paper] Text-to-SQL as Dual-State Reasoning: Integrating Adaptive Context and Progressive Generation
Recent divide-and-conquer reasoning approaches, particularly those based on Chain-of-Thought (CoT), have substantially improved the Text-to-SQL capabilities of ...
- · ai
[Paper] Training Introspective Behavior: Fine-Tuning Induces Reliable Internal State Detection in a 7B Model
Lindsey (2025) investigates introspective awareness in language models through four experiments, finding that models can sometimes detect and identify injected ...
- · ai
[Paper] Prune4Web: DOM Tree Pruning Programming for Web Agent
Web automation employs intelligent agents to execute high-level tasks by mimicking human interactions with web interfaces. Despite the capabilities of recent La...
- · ai
[Paper] Monet: Reasoning in Latent Visual Space Beyond Images and Language
'Thinking with images' has emerged as an effective paradigm for advancing visual reasoning, extending beyond text-only chains of thought by injecting visual evi...
- · software
[Paper] Large Language Models for Unit Test Generation: Achievements, Challenges, and the Road Ahead
Unit testing is an essential yet laborious technique for verifying software and mitigating regression risks. Although classic automated methods effectively expl...
- · software
[Paper] Multi-Agent Systems for Dataset Adaptation in Software Engineering: Capabilities, Limitations, and Future Directions
Automating the adaptation of software engineering (SE) research artifacts across datasets is essential for scalability and reproducibility, yet it remains large...