HuggingFace
SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space
World Action Models (WAMs) couple action generation with prediction of future states. Their effectiveness depends on ...
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HuggingFace
To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing
Large language models increasingly write and repair production code, yet evidence is mounting that their test-passing...
HuggingFace
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
Enterprise question answering requires models to acquire proprietary knowledge without discarding general capabilitie...
HuggingFace
MemSFT: Mitigating Alignment Tax with an External Parametric Memory
Adapting Large Language Models (LLMs) to specialized domains often incurs an alignment tax, as fine-tuning on domain-...
HuggingFace
AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
Large language model (LLM) agents can self-evolve by continually improving from their own accumulated experience. How...
arXiv
Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions
Language models have taken on the role of a very new type of technology, by virtue of their "human-ness" and rapid in...
arXiv
DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with Label Disambiguation
Despite the remarkable progress over the past decades, accurately identifying small objects remains challenging becau...
arXiv
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code
Real-world software development requires coding agents to operate in shared workspaces where users may inspect and mo...
arXiv
CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization
Diffusion Transformers (DiTs) have achieved state-of-the-art (SOTA) performance in visual generative modeling, yet th...
arXiv
Abduction Without a Body? Representational Grounding and the Abduction Loop for Scientific Hypothesis Generation
Can scientific abduction occur without continuous sensorimotor embodiment? Recent arguments in AI and philosophy of s...
arXiv
Optimizing Minimax Regret in Uncertain MDPs with Small Sets of Policies
Sequential decision-making in real-world applications often involves uncertainty about the environment's model. Uncer...
arXiv
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation
The most capable AI deployments are not single models but ensembles of specialized agents that delegate and act in co...