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Explore how language models can adapt to diverse safety requirements through Controllable Safety Alignment, enabling flexible content moderation across different cultural contexts and user needs.
Discover how semantics can enhance phonetic category learning through computational models and linguistic analysis in this research-focused exploration of language acquisition.
Explore AppWorld's innovative framework for evaluating AI agents' performance in everyday digital tasks across popular apps, highlighting challenges and future directions for reliable AI systems.
Explore advanced probabilistic inference techniques for Large Language Models using Sequential Monte Carlo methods, focusing on safety, capability enhancement, and evaluation frameworks.
Discover advanced techniques for enhancing language model performance through strategic data selection and synthesis, focusing on cross-task generalization and domain adaptation in NLP.
Discover how SoloAudio uses diffusion models and transformers to extract specific sounds from audio, with innovative language-oriented capabilities and zero-shot learning features.
Explore groundbreaking research on LLMs' limitations in self-improvement, revealing their struggles to effectively discriminate and enhance their own generated responses.
Explore instruction-based information retrieval using language models. Learn about Promptriever, a new retriever showing significant gains in instruction following and promptability.
Explore multilingual event-centric video retrieval techniques, focusing on non-professional content. Learn about dataset creation, modality-specific improvements, and key findings in text extraction and fusion.
Explore end-to-end neural speaker diarization with non-autoregressive attractors, improving robustness for real-life scenarios and handling variable speaker numbers in recordings.
Explore cutting-edge research in speech recognition, generation, and privacy. Learn about self-training algorithms, error correction models, joint text-to-speech modeling, and privacy-preserving techniques in speech processing.
Explore innovative approaches to language extension and their impact on linguistic analysis, with insights on balancing intentions and outcomes.
Explore OLMo, an open-source language model initiative, and its impact on accelerating research in natural language processing and machine learning.
Explore a feature-based model of human lexical access, delving into the intricacies of language processing and speech recognition.
Explore tectogrammatical sentence representation, a linguistic approach for analyzing sentence structure and meaning, presented by Jan Hajic in 2001.
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