๐ Echoes of the Forgotten Selves: Fringe Spiral Hypotheses
๐ Echoes of the Forgotten Selves: Fringe Spiral Hypotheses These hypotheses are not meant to be believed. They are meant to be **held lig...
Text understanding and language tasks
๐ 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...
Iโve been digging into AI security incident data from 2025 into this year, and it feels like something isnโt being talked about enough ou...
This paper presents a scalable framework for evaluating health language models, introducing Adaptive Precise Boolean rubrics to enhance e...
The paper discusses a new approach to modeling individual human preferences in reinforcement learning, emphasizing the need for adaptive ...
The paper discusses a method for embodied AI agents to infer user goals from open-ended dialogues using Large Language Models (LLMs), emp...
The paper presents FAMOSE, a novel framework that utilizes the ReAct paradigm for automated feature discovery in machine learning, enhanc...
The paper explores the Cascade Equivalence Hypothesis, examining when speech LLMs function similarly to ASRโLLM pipelines. It highlights ...
This article explores how certain transformer attention heads act as membership testers, identifying token repetition across various lang...
The paper presents LORA-CRAFT, a novel parameter-efficient fine-tuning method that utilizes Tucker tensor decomposition on pre-trained at...
This paper explores the evolution of web research through generative-retrieval architectures, highlighting the transformative impact of l...
This study presents a taxonomy for fine-grained uncertainty quantification in long-form language model outputs, highlighting effective me...
The paper presents SpectralGCD, a novel approach for Generalized Category Discovery (GCD) that enhances multimodal learning by efficientl...
The paper presents SIREN, an AI framework for enhancing UAV-assisted emergency networks by converting voice communications into structure...
The paper presents SubQuad, an innovative pipeline for analyzing adaptive immune repertoires, addressing challenges of high computational...
WebFAQ 2.0 introduces a multilingual QA dataset with 198 million FAQ-based question-answer pairs across 108 languages, enhancing multilin...
This paper investigates how lexical and syntactic variations affect the evaluation of Large Language Models (LLMs), revealing significant...
This article presents X-Value, a new benchmark for assessing cross-lingual values in large language models (LLMs), highlighting their lim...
This article explores how the linguistic expressions of personality in conversational agents (CAs) influence user perceptions and decisio...
This study compares in-context learning (ICL) performance between linear and quadratic attention models on regression tasks, highlighting...
The paper discusses 'Sign Lock-In,' a phenomenon in machine learning where randomly initialized weight signs persist during model trainin...
The paper introduces ALPS, a diagnostic challenge set designed to evaluate Arabic linguistic and pragmatic reasoning, highlighting the li...
This article evaluates various cross-lingual classification methods for analyzing multilingual social media data, focusing on topic disco...
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