· 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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[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...
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[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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[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...
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[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, ...
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[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...
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[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...
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[Paper] EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations th...
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[Paper] EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations th...
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[Paper] Beyond surface form: A pipeline for semantic analysis in Alzheimer's Disease detection from spontaneous speech
Alzheimer's Disease (AD) is a progressive neurodegenerative condition that adversely affects cognitive abilities. Language-related changes can be automatically ...
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[Paper] Towards Effective Model Editing for LLM Personalization
Personalization is becoming indispensable for LLMs to align with individual user preferences and needs. Yet current approaches are often computationally expensi...
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[Paper] Towards Interactive Intelligence for Digital Humans
We introduce Interactive Intelligence, a novel paradigm of digital human that is capable of personality-aligned expression, adaptive interaction, and self-evolu...