Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
Fuente:
arXiv
Guardado en:
| Autores principales: | Mayilvaghanan, Kawin, Gupta, Siddhant, Kumar, Ayush |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Counterfactual Fairness Evaluation of LLM-Based Contact Center Agent Quality Assurance System
por: Mayilvaghanan, Kawin, et al.
Publicado: (2026)
por: Mayilvaghanan, Kawin, et al.
Publicado: (2026)
Linguistic Blind Spots in Clinical Decision Extraction
por: Elgaar, Mohamed, et al.
Publicado: (2026)
por: Elgaar, Mohamed, et al.
Publicado: (2026)
Fluent but Unfeeling: The Emotional Blind Spots of Language Models
por: Shu, Bangzhao, et al.
Publicado: (2025)
por: Shu, Bangzhao, et al.
Publicado: (2025)
Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
por: Basmov, Victoria, et al.
Publicado: (2023)
por: Basmov, Victoria, et al.
Publicado: (2023)
Linguistic Blind Spots of Large Language Models
por: Cheng, Jiali, et al.
Publicado: (2025)
por: Cheng, Jiali, et al.
Publicado: (2025)
AraSpot: Arabic Spoken Command Spotting
por: Salhab, Mahmoud, et al.
Publicado: (2023)
por: Salhab, Mahmoud, et al.
Publicado: (2023)
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
por: Suzgun, Mirac, et al.
Publicado: (2024)
por: Suzgun, Mirac, et al.
Publicado: (2024)
Learning to Verify Summary Facts with Fine-Grained LLM Feedback
por: Oh, Jihwan, et al.
Publicado: (2024)
por: Oh, Jihwan, et al.
Publicado: (2024)
Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation
por: Devanathan, Rishikesh, et al.
Publicado: (2025)
por: Devanathan, Rishikesh, et al.
Publicado: (2025)
ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
por: Dong, Wenhan, et al.
Publicado: (2025)
por: Dong, Wenhan, et al.
Publicado: (2025)
A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting
por: Li, Yuang, et al.
Publicado: (2023)
por: Li, Yuang, et al.
Publicado: (2023)
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text
por: Li, Yafu, et al.
Publicado: (2024)
por: Li, Yafu, et al.
Publicado: (2024)
Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
por: Kothari, Sara, et al.
Publicado: (2025)
por: Kothari, Sara, et al.
Publicado: (2025)
Systematic Biases in LLM Simulations of Debates
por: Taubenfeld, Amir, et al.
Publicado: (2024)
por: Taubenfeld, Amir, et al.
Publicado: (2024)
Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models
por: Tsui, Ken
Publicado: (2025)
por: Tsui, Ken
Publicado: (2025)
Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems
por: Pai, Aaditya
Publicado: (2026)
por: Pai, Aaditya
Publicado: (2026)
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP
por: Gautam, Sanjana, et al.
Publicado: (2024)
por: Gautam, Sanjana, et al.
Publicado: (2024)
Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks
por: Zhang, Chuyifei, et al.
Publicado: (2026)
por: Zhang, Chuyifei, et al.
Publicado: (2026)
DOCE: Finding the Sweet Spot for Execution-Based Code Generation
por: Li, Haau-Sing, et al.
Publicado: (2024)
por: Li, Haau-Sing, et al.
Publicado: (2024)
Signs of Struggle: Spotting Cognitive Distortions across Language and Register
por: Kuber, Abhishek, et al.
Publicado: (2025)
por: Kuber, Abhishek, et al.
Publicado: (2025)
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
por: Shayegani, Erfan, et al.
Publicado: (2025)
por: Shayegani, Erfan, et al.
Publicado: (2025)
Biases in the Blind Spot: Detecting What LLMs Fail to Mention
por: Arcuschin, Iván, et al.
Publicado: (2026)
por: Arcuschin, Iván, et al.
Publicado: (2026)
Fine-grained Narrative Classification in Biased News Articles
por: Afroz, Zeba, et al.
Publicado: (2025)
por: Afroz, Zeba, et al.
Publicado: (2025)
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
por: Singh, Sanjeet, et al.
Publicado: (2024)
por: Singh, Sanjeet, et al.
Publicado: (2024)
LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo
por: Jain, Ojas, et al.
Publicado: (2026)
por: Jain, Ojas, et al.
Publicado: (2026)
Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
por: Pang, Jinlong, et al.
Publicado: (2025)
por: Pang, Jinlong, et al.
Publicado: (2025)
Robust and Fine-Grained Detection of AI Generated Texts
por: Kadiyala, Ram Mohan Rao, et al.
Publicado: (2025)
por: Kadiyala, Ram Mohan Rao, et al.
Publicado: (2025)
To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
por: Bianchi, Federico, et al.
Publicado: (2025)
por: Bianchi, Federico, et al.
Publicado: (2025)
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
por: Méndez, Silvia García, et al.
Publicado: (2024)
por: Méndez, Silvia García, et al.
Publicado: (2024)
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
por: Hans, Abhimanyu, et al.
Publicado: (2024)
por: Hans, Abhimanyu, et al.
Publicado: (2024)
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems
por: Kwok, Chin Yuen, et al.
Publicado: (2025)
por: Kwok, Chin Yuen, et al.
Publicado: (2025)
Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
por: Bhambri, Siddhant, et al.
Publicado: (2025)
por: Bhambri, Siddhant, et al.
Publicado: (2025)
On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception
por: Norouzi, Sanaz Saki, et al.
Publicado: (2025)
por: Norouzi, Sanaz Saki, et al.
Publicado: (2025)
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases
por: Mohanty, Suvendu
Publicado: (2025)
por: Mohanty, Suvendu
Publicado: (2025)
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
por: Han, Jinyi, et al.
Publicado: (2025)
por: Han, Jinyi, et al.
Publicado: (2025)
An Investigation of Linguistic Biases in LLM-Based Recommendations
por: Venkateswaran, Nitin, et al.
Publicado: (2026)
por: Venkateswaran, Nitin, et al.
Publicado: (2026)
Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning
por: Imran, Moiz, et al.
Publicado: (2026)
por: Imran, Moiz, et al.
Publicado: (2026)
From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness
por: Cao, Linbo, et al.
Publicado: (2026)
por: Cao, Linbo, et al.
Publicado: (2026)
Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
por: Christian, Brian, et al.
Publicado: (2026)
por: Christian, Brian, et al.
Publicado: (2026)
Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study
por: Bouchard, Dylan, et al.
Publicado: (2026)
por: Bouchard, Dylan, et al.
Publicado: (2026)
Ejemplares similares
-
Counterfactual Fairness Evaluation of LLM-Based Contact Center Agent Quality Assurance System
por: Mayilvaghanan, Kawin, et al.
Publicado: (2026) -
Linguistic Blind Spots in Clinical Decision Extraction
por: Elgaar, Mohamed, et al.
Publicado: (2026) -
Fluent but Unfeeling: The Emotional Blind Spots of Language Models
por: Shu, Bangzhao, et al.
Publicado: (2025) -
Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
por: Basmov, Victoria, et al.
Publicado: (2023) -
Linguistic Blind Spots of Large Language Models
por: Cheng, Jiali, et al.
Publicado: (2025)