· 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...
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- · 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 ...
- · ai
[Paper] JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction
This paper introduces JMMMU-Pro, an image-based Japanese Multi-discipline Multimodal Understanding Benchmark, and Vibe Benchmark Construction, a scalable constr...
- · ai
[Paper] ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning
Graph Transformers (GTs) have emerged as a promising graph learning tool, leveraging their all-pair connected property to effectively capture global information...
- · ai
[Paper] Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes
Many practical decision-making problems involve tasks whose success depends on the entire system history, rather than on achieving a state with desired properti...
- · ai
[Paper] Towards Nepali-language LLMs: Efficient GPT training with a Nepali BPE tokenizer
Nepali, a low-resource language spoken by over 32 million people, continues to face challenges in natural language processing (NLP) due to its complex grammar, ...
- · ai
[Paper] Low-Resource, High-Impact: Building Corpora for Inclusive Language Technologies
This tutorial (https://tum-nlp.github.io/low-resource-tutorial) is designed for NLP practitioners, researchers, and developers working with multilingual and low...
- · ai
[Paper] Polypersona: Persona-Grounded LLM for Synthetic Survey Responses
This paper introduces PolyPersona, a generative framework for synthesizing persona-conditioned survey responses across multiple domains. The framework instructi...
- · ai
[Paper] Improving Slow Transfer Predictions: Generative Methods Compared
Monitoring data transfer performance is a crucial task in scientific computing networks. By predicting performance early in the communication phase, potentially...
- · ai
[Paper] Seismology modeling agent: A smart assistant for geophysical researchers
To address the steep learning curve and reliance on complex manual file editing and command-line operations in the traditional workflow of the mainstream open-s...
- · it
Echo raises $35M to secure the enterprise cloud's base layer — container images — with autonomous AI agents
As enterprises accelerate the deployment of LLMs and agentic workflows, they are hitting a critical infrastructure bottleneck: the container base images powerin...