Cover Image

Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schleifer, Abigail Gurin, Klebanov, Beata Beigman, Ariely, Moriah, Alexandron, Giora
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Computers and Society Human-Computer Interaction Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation
by: Schleifer, Abigail Victoria Gurin, et al.
Published: (2026)

Causal‐mechanical explanations in biology: Applying automated assessment for personalized learning in the science classroom
by: Moriah Ariely, et al.
Published: (2024)

Revisiting Human-in-the-Loop Object Retrieval with Pre-Trained Vision Transformers
by: Zaher, Kawtar, et al.
Published: (2026)

Assessment Design in the AI Era: A Method for Identifying Items Functioning Differentially for Humans and Chatbots
by: Zeinfeld, Licol, et al.
Published: (2026)

LLM Confidence Evaluation Measures in Zero-Shot CSS Classification
by: Farr, David, et al.
Published: (2024)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
by: Roitero, Kevin, et al.
Published: (2025)

Surfacing Isolated Learners with Outcome-Independent Mediation of Feedback between Teachers and Students Using AI
by: Park, Junsoo, et al.
Published: (2026)

Verify as You Go: An LLM-Powered Browser Extension for Fake News Detection
by: Sallami, Dorsaf, et al.
Published: (2026)

The Influence of Presentation and Performance on User Satisfaction
by: Pathak, Kanaad, et al.
Published: (2024)

Comparing Traditional and LLM-based Search for Image Geolocation
by: Wazzan, Albatool, et al.
Published: (2024)

Leveraging Multimodal LLM for Inspirational User Interface Search
by: Park, Seokhyeon, et al.
Published: (2025)

OwlerLite: Scope- and Freshness-Aware Web Retrieval for LLM Assistants
by: Zerhoudi, Saber, et al.
Published: (2026)

Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates
by: Shi, Li, et al.
Published: (2024)

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration
by: Sun, Qiang, et al.
Published: (2025)

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications
by: Tavakoli, Leila, et al.
Published: (2025)

BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
by: Choi, Yoonseo, et al.
Published: (2025)

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent
by: Chen, Chuer, et al.
Published: (2025)

ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM
by: Zhang, Songheng, et al.
Published: (2024)

Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
by: Park, Donguk, et al.
Published: (2026)

Evolving Paradigms in Task-Based Search and Learning: A Comparative Analysis of Traditional Search Engine with LLM-Enhanced Conversational Search System
by: Guan, Zhitong, et al.
Published: (2025)

Making Language Models Better Tool Learners with Execution Feedback
by: Qiao, Shuofei, et al.
Published: (2023)

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
by: Aridor, Guy, et al.
Published: (2024)

Causal Autoencoder-like Generation of Feedback Fuzzy Cognitive Maps with an LLM Agent
by: Panda, Akash Kumar, et al.
Published: (2025)

Do Images Clarify? A Study on the Effect of Images on Clarifying Questions in Conversational Search
by: Siro, Clemencia, et al.
Published: (2026)

QEQR: An Exploration of Query Expansion Methods for Question Retrieval in CQA Services
by: Ghafourian, Yasin, et al.
Published: (2024)

Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms
by: Houtti, Mo, et al.
Published: (2023)

Antitrust, Amazon, and Algorithmic Auditing
by: Dash, Abhisek, et al.
Published: (2024)

SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists
by: Khellaf, Lynn, et al.
Published: (2025)

Towards Human-centered Proactive Conversational Agents
by: Deng, Yang, et al.
Published: (2024)

What News Recommendation Research Did (But Mostly Didn't) Teach Us About Building A News Recommender
by: Higley, Karl, et al.
Published: (2025)

Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
by: Mysore, Sheshera, et al.
Published: (2023)

Unraveling Code-Mixing Patterns in Migration Discourse: Automated Detection and Analysis of Online Conversations on Reddit
by: Vitiugin, Fedor, et al.
Published: (2024)

Towards Generalizable Representations of Mathematical Strategies
by: Pradhan, Siddhartha, et al.
Published: (2026)

Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistant
by: Kim, Yoonsang, et al.
Published: (2026)

Search Plurality
by: Dudy, Shiran
Published: (2025)

Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
by: Wei, Tianjun, et al.
Published: (2025)

Interactive Recommendation Agent with Active User Commands
by: Tang, Jiakai, et al.
Published: (2025)

The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT
by: Dash, Abhisek, et al.
Published: (2026)

Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition
by: Hui, Zheng, et al.
Published: (2025)

KrishokBondhu: A Retrieval-Augmented Voice-Based Agricultural Advisory Call Center for Bengali Farmers
by: Ameen, Mohd Ruhul, et al.
Published: (2025)