· ai
[Paper] Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
Multi-token generation has emerged as a promising paradigm for accelerating transformer-based large model inference. Recent efforts primarily explore diffusion ...
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- · ai
[Paper] VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image
We propose VASA-3D, an audio-driven, single-shot 3D head avatar generator. This research tackles two major challenges: capturing the subtle expression details p...
- · ai
[Paper] Beyond Lipschitz Continuity and Monotonicity: Fractal and Chaotic Activation Functions in Echo State Networks
Contemporary reservoir computing relies heavily on smooth, globally Lipschitz continuous activation functions, limiting applications in defense, disaster respon...
- · software
[Paper] Reconsidering Conversational Norms in LLM Chatbots for Sustainable AI
LLM based chatbots have become central interfaces in technical, educational, and analytical domains, supporting tasks such as code reasoning, problem solving, a...
- · ai
[Paper] ART: Articulated Reconstruction Transformer
We introduce ART, Articulated Reconstruction Transformer -- a category-agnostic, feed-forward model that reconstructs complete 3D articulated objects from only ...
- · ai
[Paper] EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models
Achieving truly adaptive embodied intelligence requires agents that learn not just by imitating static demonstrations, but by continuously improving through env...
- · ai
[Paper] Enhancing Visual Sentiment Analysis via Semiotic Isotopy-Guided Dataset Construction
Visual Sentiment Analysis (VSA) is a challenging task due to the vast diversity of emotionally salient images and the inherent difficulty of acquiring sufficien...
- · ai
[Paper] gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
We introduce gridfm-datakit-v1, a Python library for generating realistic and diverse Power Flow (PF) and Optimal Power Flow (OPF) datasets for training Machine...
- · ai
[Paper] Segmental Attention Decoding With Long Form Acoustic Encodings
We address the fundamental incompatibility of attention-based encoder-decoder (AED) models with long-form acoustic encodings. AED models trained on segmented ut...
- · ai
[Paper] TiME: Tiny Monolingual Encoders for Efficient NLP Pipelines
Today, a lot of research on language models is focused on large, general-purpose models. However, many NLP pipelines only require models with a well-defined, sm...
- · ai
[Paper] A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
Timely and accurate lymphoma diagnosis is essential for guiding cancer treatment. Standard diagnostic practice combines hematoxylin and eosin (HE)-stained whole...
- · ai
[Paper] MuseCPBench: an Empirical Study of Music Editing Methods through Music Context Preservation
Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game development. Recent advances in music generation ...