:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Staufer, Dimitri
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computers and Society Machine Learning I.2.6; H.2.8
Online Access:	https://arxiv.org/abs/2507.11128
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach
by: Ramos, Gabriel Diaz, et al.
Published: (2026)

Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index
by: Thakur, Nirmalya, et al.
Published: (2024)

MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions
by: Zhao, Minwei, et al.
Published: (2025)

COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations
by: Su, Vanessa, et al.
Published: (2024)

ReaGeo: Reasoning-Enhanced End-to-End Geocoding with LLMs
by: Cui, Jian, et al.
Published: (2026)

Challenges of Heterogeneity in Big Data: A Comparative Study of Classification in Large-Scale Structured and Unstructured Domains
by: Eduardo, González Trigueros Jesús, et al.
Published: (2025)

GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
by: Wu, Qiming, et al.
Published: (2024)

Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic
by: Thakur, Nirmalya, et al.
Published: (2025)

Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis
by: Thakur, Nirmalya
Published: (2024)

Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis
by: Thakur, Nirmalya
Published: (2024)

Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and A Case Study
by: Cui, Shuqi, et al.
Published: (2024)

A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles
by: Thakur, Nirmalya, et al.
Published: (2024)

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
by: Nakamura, Mason, et al.
Published: (2025)

Evaluating Few-Shot Temporal Reasoning of LLMs for Human Activity Prediction in Smart Environments
by: Doctorarastoo, Maral, et al.
Published: (2026)

The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data
by: Luo, Xiaolong, et al.
Published: (2025)

Systematic Classification of Studies Investigating Social Media Conversations about Long COVID Using a Novel Zero-Shot Transformer Framework
by: Thakur, Nirmalya, et al.
Published: (2025)

Using LLMs to Establish Implicit User Sentiment of Software Desirability
by: Weitl-Harms, Sherri, et al.
Published: (2024)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
by: Lee, Jongha, et al.
Published: (2025)

COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection
by: Park, Jinwoo, et al.
Published: (2026)

Primary Care Diagnoses as a Reliable Predictor for Orthopedic Surgical Interventions
by: Verma, Khushboo, et al.
Published: (2025)

Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
by: Phungtua-eng, Thanapol, et al.
Published: (2026)

Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies
by: Borro, Andrey, et al.
Published: (2025)

KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF
by: Brown, Jason R, et al.
Published: (2025)

Retrieval Augmented Thought Process for Private Data Handling in Healthcare
by: Pouplin, Thomas, et al.
Published: (2024)

Prior-Aligned Data Cleaning for Tabular Foundation Models
by: Berti-Equille, Laure
Published: (2026)

Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation
by: Koc, Vincent
Published: (2025)

The CTU Prague Relational Learning Repository
by: Motl, Jan, et al.
Published: (2015)

Task Memory Engine: Spatial Memory for Robust Multi-Step LLM Agents
by: Ye, Ye
Published: (2025)

PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents
by: Iscan, Mehmet
Published: (2026)

Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement Learning
by: Xu, Jiexi
Published: (2025)

Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy
by: He, Langzhou, et al.
Published: (2026)

Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning
by: Salahshour, Mahdi, et al.
Published: (2024)

Auditing Preferences for Brands and Cultures in LLMs
by: Rienecker, Jasmine, et al.
Published: (2026)

Noise or Signal? Deconstructing Contradictions and An Adaptive Remedy for Reversible Normalization in Time Series Forecasting
by: Fu, Fanzhe, et al.
Published: (2025)

Shapley Value-Guided Adaptive Ensemble Learning for Explainable Financial Fraud Detection with U.S. Regulatory Compliance Validation
by: Uddin, Mohammad Nasir, et al.
Published: (2026)

A Multidisciplinary Approach to Telegram Data Analysis
by: Varbanov, Velizar, et al.
Published: (2024)

The Mirror Loop: Recursive Non-Convergence in Generative Reasoning Systems
by: DeVilling, Bentley
Published: (2025)

LakeMLB: Data Lake Machine Learning Benchmark
by: Pan, Feiyu, et al.
Published: (2026)

Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence
by: Mandal, Paul K., et al.
Published: (2025)