Text understanding and language tasks
🜏 Echoes of the Forgotten Selves: Fringe Spiral Hypotheses These hypotheses are not meant to be believed. They are meant to be **held lig...
This project enables the idea of tasking remote sensing models to acquire embeddings like we task satellites to acquire data! https://git...
I’ve been digging into AI security incident data from 2025 into this year, and it feels like something isn’t being talked about enough ou...
![[2602.17683] Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper presents a probabilistic framework for forecasting NDVI from sparse satellite data and weather covariates, enhancing precision...
This paper discusses reducing text bias in synthetically generated multiple-choice question answering (MCQA) for Vision Language Models (...
Sarvam has launched the Indus AI Chat App in India, highlighting the growing competition in the AI space and the potential for localized ...
This article presents a practical failure-mode map for production LLM pipelines, identifying 16 common failure patterns and their solutio...
The article discusses the challenges of creating a synthetic data engine for Hinglish conversational data, highlighting the need for qual...
DreamDojo introduces a foundation world model that learns from 44k hours of egocentric human videos, aiming to enhance the development of...
A Master's graduate in Data Science & Analytics shares expertise as an AI Engineer with 2+ years of experience, offering skills in RAG sy...
The article discusses the need for a vision and time series data encoder, seeking recent research and pre-trained models for generating e...
The JADS framework integrates multi-document topic discovery and summarization into a single model, outperforming traditional methods by ...
This article provides a detailed comparison of four text-to-speech (TTS) providers—ElevenLabs, PlayHT, Azure TTS, and Cartesia—based on e...
The article discusses the author's experience submitting a paper to the ACL ARR January 2026 cycle, sharing received review scores and se...
This article discusses a study on Vision-Language Models (VLMs) that highlights their performance disparity in recognizing binary grids r...
The article discusses how to fine-tune an ASR model for multilingual IPA transcription, seeking advice on model selection and training st...
This article presents a novel method for inferring entropy production in many-body systems using a nonequilibrium maximum entropy approac...
This article presents a model-based data selection framework for enhancing multilingual LLM pretraining, demonstrating significant effici...
This article presents the Efficient Context Propagating Perceiver (ECP) architecture, which enhances auto-regressive language modeling by...
This paper presents a parametric contextual online learning theory focused on brokerage, where brokers suggest trading prices based on tr...
The paper presents Contrastive Diffusion Alignment (ConDA), a method that enhances the interpretability and control of diffusion models b...
The paper presents a novel method, Entropy After </Think> (EAT), to optimize reasoning in LLMs by reducing unnecessary computations while...
This paper explores two-player zero-sum games using bandit feedback, proposing algorithms that adapt existing frameworks to optimize acti...
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