Text understanding and language tasks
Been thinking about this and want to know if others have hit the same issue. The dominant approach for agent memory (Mem0, Zep, most RAG ...
![[2601.11016] Contextual Distributionally Robust Optimization with Causal and Continuous Structure: An Interpretable and Tractable Approach](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2601.11016: Contextual Distributionally Robust Optimization with Causal and Continuous Structure: An Interp...
Abstract page for arXiv paper 2511.22294: Structure is Supervision: Multiview Masked Autoencoders for Radiology
This article discusses a preprint on targeted instruction selection for fine-tuning large language models (LLMs), emphasizing systematic ...
Whisper-Accent is a project aimed at enhancing Whisper's performance in recognizing accented English speech, providing tools for research...
A second-year AI/ML student seeks a remote internship in machine learning, showcasing skills in NLP, diffusion models, and end-to-end pro...
Anthropic accuses Chinese developers of stealing AI secrets from its Claude chatbot, sparking criticism over its own data scraping practi...
The paper presents the Generative Reasoning Re-ranker (GR2), an innovative framework for enhancing recommendation systems using Large Lan...
The paper introduces Emotion-LLaMAv2 and MMEVerse, a new framework and benchmark aimed at enhancing multimodal emotion understanding thro...
The paper presents STaRR, a novel framework for responsive remasking in diffusion language models that adapts remasking decisions based o...
The paper introduces Fast-weight Product Key Memory (FwPKM), a novel memory layer designed to enhance sequence modeling in language model...
Interpreto is an open-source library designed for interpreting HuggingFace transformers, offering both attribution methods and concept-ba...
The paper presents MapReduce LoRA, a novel framework for optimizing generative models by addressing multi-preference alignment issues. It...
The paper presents EDJE, an Efficient Discriminative Joint Encoder designed to enhance vision-language reranking by precomputing visual t...
This paper presents a new framework for evaluating and enhancing long-term memory in large language models (LLMs), introducing the BEAM b...
The paper introduces Flower, a novel solver for linear inverse problems that utilizes a pre-trained flow model to enhance reconstruction ...
The paper discusses the development of native Vision-Language Models (VLMs) that integrate vision and language capabilities more effectiv...
This paper addresses the performance gap between text and speech understanding in large language models (LLMs), proposing a new method, S...
The paper introduces Unfolded Laplacian Spectral Embedding (ULSE), a novel method for dynamic network representation that ensures stabili...
The paper presents AgentDR, a novel framework that enhances recommendation systems by leveraging LLMs to understand implicit item relatio...
This article explores the use of NLP and machine learning techniques for enhancing malware classification accuracy, achieving a notable 9...
The paper introduces Eso-LMs, a novel language model that integrates autoregressive and masked diffusion paradigms, enhancing inference e...
The paper introduces the Bayesian Attention Mechanism (BAM), a novel framework for positional encoding in transformer models that enhance...
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