Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Alvarez, Aitor Arronte, Fincham, Naiyi Xie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration
by: Yuan, Yi, et al.
Published: (2026)
by: Yuan, Yi, et al.
Published: (2026)
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
by: Liu, Ben, et al.
Published: (2025)
by: Liu, Ben, et al.
Published: (2025)
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations
by: Wang, Rose E., et al.
Published: (2024)
by: Wang, Rose E., et al.
Published: (2024)
Position: LLMs Can be Good Tutors in English Education
by: Ye, Jingheng, et al.
Published: (2025)
by: Ye, Jingheng, et al.
Published: (2025)
Identifying Implicit Social Biases in Vision-Language Models
by: Hamidieh, Kimia, et al.
Published: (2024)
by: Hamidieh, Kimia, et al.
Published: (2024)
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
by: Banayeeanzade, Amin, et al.
Published: (2025)
by: Banayeeanzade, Amin, et al.
Published: (2025)
From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness
by: Cao, Linbo, et al.
Published: (2026)
by: Cao, Linbo, et al.
Published: (2026)
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
by: Hong, Junyuan, et al.
Published: (2024)
by: Hong, Junyuan, et al.
Published: (2024)
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
by: Karr Jr., Jonathan A., et al.
Published: (2025)
by: Karr Jr., Jonathan A., et al.
Published: (2025)
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025)
by: Taubenfeld, Amir, et al.
Published: (2025)
Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
by: Fateen, Menna, et al.
Published: (2024)
by: Fateen, Menna, et al.
Published: (2024)
JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs
by: Feng, Junlan, et al.
Published: (2025)
by: Feng, Junlan, et al.
Published: (2025)
A Comprehensive Evaluation of Cognitive Biases in LLMs
by: Malberg, Simon, et al.
Published: (2024)
by: Malberg, Simon, et al.
Published: (2024)
Conditioning LLMs to Generate Code-Switched Text
by: Heredia, Maite, et al.
Published: (2025)
by: Heredia, Maite, et al.
Published: (2025)
Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
by: Wu, Xinwei, et al.
Published: (2025)
by: Wu, Xinwei, et al.
Published: (2025)
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
by: Kishore, Sindhu, et al.
Published: (2024)
by: Kishore, Sindhu, et al.
Published: (2024)
Can LLMs Generate High-Quality Task-Specific Conversations?
by: Li, Shengqi, et al.
Published: (2025)
by: Li, Shengqi, et al.
Published: (2025)
DeepTutor: Towards Agentic Personalized Tutoring
by: Zhao, Bingxi, et al.
Published: (2026)
by: Zhao, Bingxi, et al.
Published: (2026)
BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents
by: Ou, Litu, et al.
Published: (2025)
by: Ou, Litu, et al.
Published: (2025)
Harmonic LLMs are Trustworthy
by: Kersting, Nicholas S., et al.
Published: (2024)
by: Kersting, Nicholas S., et al.
Published: (2024)
MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
by: Ghosh, Rajarshi, et al.
Published: (2025)
by: Ghosh, Rajarshi, et al.
Published: (2025)
Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring
by: Chen, Shiting, et al.
Published: (2025)
by: Chen, Shiting, et al.
Published: (2025)
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
by: Xiao, Yuxin, et al.
Published: (2024)
by: Xiao, Yuxin, et al.
Published: (2024)
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
by: Sun, Yuxi, et al.
Published: (2025)
by: Sun, Yuxi, et al.
Published: (2025)
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
by: Wan, Yixin, et al.
Published: (2024)
by: Wan, Yixin, et al.
Published: (2024)
Mitigating Social Biases in Language Models through Unlearning
by: Dige, Omkar, et al.
Published: (2024)
by: Dige, Omkar, et al.
Published: (2024)
Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs
by: Mor-Lan, Guy, et al.
Published: (2026)
by: Mor-Lan, Guy, et al.
Published: (2026)
SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems
by: Li, Peiran, et al.
Published: (2025)
by: Li, Peiran, et al.
Published: (2025)
ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy Agents
by: Peer, David, et al.
Published: (2025)
by: Peer, David, et al.
Published: (2025)
Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks
by: Mohammadi, Fatemeh, et al.
Published: (2025)
by: Mohammadi, Fatemeh, et al.
Published: (2025)
Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most
by: Yasir, Tahreem, et al.
Published: (2026)
by: Yasir, Tahreem, et al.
Published: (2026)
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
by: Mo, Lingbo, et al.
Published: (2023)
by: Mo, Lingbo, et al.
Published: (2023)
When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
by: Afzali, Amirabbas, et al.
Published: (2026)
by: Afzali, Amirabbas, et al.
Published: (2026)
Teaching LLMs to Abstain via Fine-Grained Semantic Confidence Reward
by: An, Hao, et al.
Published: (2025)
by: An, Hao, et al.
Published: (2025)
Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
by: de Landa, Joseba Fernandez, et al.
Published: (2026)
by: de Landa, Joseba Fernandez, et al.
Published: (2026)
Learning to Route LLMs with Confidence Tokens
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
by: Chen, Yankai, et al.
Published: (2025)
by: Chen, Yankai, et al.
Published: (2025)
Pitfalls of Conversational LLMs on News Debiasing
by: Schlicht, Ipek Baris, et al.
Published: (2024)
by: Schlicht, Ipek Baris, et al.
Published: (2024)
Double-Calibration: Towards Reliable LLMs via Calibrating Knowledge and Reasoning Confidence
by: Lu, Yuyin, et al.
Published: (2026)
by: Lu, Yuyin, et al.
Published: (2026)
Similar Items
-
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors
by: Wang, Jian, et al.
Published: (2025) -
Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration
by: Yuan, Yi, et al.
Published: (2026) -
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
by: Liu, Ben, et al.
Published: (2025) -
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations
by: Wang, Rose E., et al.
Published: (2024) -
Position: LLMs Can be Good Tutors in English Education
by: Ye, Jingheng, et al.
Published: (2025)