· ai
[Paper] CoV: Chain-of-View Prompting for Spatial Reasoning
Embodied question answering (EQA) in 3D environments often requires collecting context that is distributed across multiple viewpoints and partially occluded. Ho...
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- · ai
[Paper] Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems
Existing long-term personalized dialogue systems struggle to reconcile unbounded interaction streams with finite context constraints, often succumbing to memory...
- · ai
[Paper] Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference
Natural Language Inference (NLI) has been an important task for evaluating language models for Natural Language Understanding, but the logical properties of the...
- · ai
[Paper] RelayLLM: Efficient Reasoning via Collaborative Decoding
Large Language Models (LLMs) for complex reasoning is often hindered by high computational costs and latency, while resource-efficient Small Language Models (SL...
- · ai
[Paper] DocDancer: Towards Agentic Document-Grounded Information Seeking
Document Question Answering (DocQA) focuses on answering questions grounded in given documents, yet existing DocQA agents lack effective tool utilization and la...
- · ai
[Paper] A Lightweight and Explainable Vision-Language Framework for Crop Disease Visual Question Answering
Visual question answering for crop disease analysis requires accurate visual understanding and reliable language generation. This work presents a lightweight vi...
- · devops
[Paper] Nalar: An agent serving framework
LLM-driven agentic applications increasingly automate complex, multi-step tasks, but serving them efficiently remains challenging due to heterogeneous component...
- · ai
[Paper] ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering
Designing scientific instrumentation often requires exploring large, highly constrained design spaces using computationally expensive physics simulations. These...
- · ai
[Paper] Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures, affects over 50 million people worldwide, and poses significant risk...
- · ai
[Paper] Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
Epilepsy is a chronic neurological disorder characterized by recurrent unprovoked seizures, affects over 50 million people worldwide, and poses significant risk...
- · devops
[Paper] Asynchronous Secure Federated Learning with Byzantine aggregators
Privacy-preserving federated averaging is a central approach for protecting client privacy in federated learning. In this paper, we study this problem in an asy...
- · software
[Paper] AVX / NEON Intrinsic Functions: When Should They Be Used?
A cross-configuration benchmark is proposed to explore the capacities and limitations of AVX / NEON intrinsic functions in a generic context of development proj...