Can Active Label Correction Improve LLM-based Modular AI Systems?
Fuente:
arXiv
Saved in:
| Main Authors: | Taneja, Karan, Goel, Ashok |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MuDoC: An Interactive Multimodal Document-grounded Conversational AI System
by: Taneja, Karan, et al.
Published: (2025)
by: Taneja, Karan, et al.
Published: (2025)
Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
by: Taneja, Karan, et al.
Published: (2024)
by: Taneja, Karan, et al.
Published: (2024)
Towards a Multimodal Document-grounded Conversational AI System for Education
by: Taneja, Karan, et al.
Published: (2025)
by: Taneja, Karan, et al.
Published: (2025)
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
by: Taneja, Karan, et al.
Published: (2026)
by: Taneja, Karan, et al.
Published: (2026)
HALT: Hallucination Assessment via Log-probs as Time series
by: Shapiro, Ahmad, et al.
Published: (2026)
by: Shapiro, Ahmad, et al.
Published: (2026)
Can Mental Imagery Improve the Thinking Capabilities of AI Systems?
by: Larabi, Slimane
Published: (2025)
by: Larabi, Slimane
Published: (2025)
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning
by: Danassis, Panayiotis, et al.
Published: (2025)
by: Danassis, Panayiotis, et al.
Published: (2025)
LLM-Vectorizer: LLM-based Verified Loop Vectorizer
by: Taneja, Jubi, et al.
Published: (2024)
by: Taneja, Jubi, et al.
Published: (2024)
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
by: Gu, Renjie, et al.
Published: (2026)
by: Gu, Renjie, et al.
Published: (2026)
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
by: Yuan, Bo, et al.
Published: (2025)
by: Yuan, Bo, et al.
Published: (2025)
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)
by: Sulaiman, Modar, et al.
Published: (2025)
Correcting Human Labels for Rater Effects in AI Evaluation: An Item Response Theory Approach
by: Casabianca, Jodi M., et al.
Published: (2026)
by: Casabianca, Jodi M., et al.
Published: (2026)
Language Models Can Predict Their Own Behavior
by: Ashok, Dhananjay, et al.
Published: (2025)
by: Ashok, Dhananjay, et al.
Published: (2025)
Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning
by: Li, Mengyang
Published: (2025)
by: Li, Mengyang
Published: (2025)
Decisions and Deployment: The Five-Year SAHELI Project (2020-2025) on Restless Multi-Armed Bandits for Improving Maternal and Child Health
by: Verma, Shresth, et al.
Published: (2026)
by: Verma, Shresth, et al.
Published: (2026)
Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
by: Bali, Karan, et al.
Published: (2026)
by: Bali, Karan, et al.
Published: (2026)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
by: Shen, William F., et al.
Published: (2026)
by: Shen, William F., et al.
Published: (2026)
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
by: Li, Chu, et al.
Published: (2024)
by: Li, Chu, et al.
Published: (2024)
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
by: Huang, Yiran, et al.
Published: (2024)
by: Huang, Yiran, et al.
Published: (2024)
Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)
by: Heidari, Marzi, et al.
Published: (2025)
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)
by: Stromberg, Nathan, et al.
Published: (2024)
A Modular Dataset to Demonstrate LLM Abstraction Capability
by: Atanas, Adam, et al.
Published: (2025)
by: Atanas, Adam, et al.
Published: (2025)
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention
by: Koebler, Alexander, et al.
Published: (2025)
by: Koebler, Alexander, et al.
Published: (2025)
Batch Bayesian Active Learning with Partial Batch Label Sampling
by: Hu, Kangping, et al.
Published: (2025)
by: Hu, Kangping, et al.
Published: (2025)
Beyond Binary Moral Judgment: Modeling Ethical Pluralism in AI
by: Aijaz, Aisha, et al.
Published: (2026)
by: Aijaz, Aisha, et al.
Published: (2026)
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
by: Zanna, Khadija, et al.
Published: (2025)
by: Zanna, Khadija, et al.
Published: (2025)
Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
by: Li, Zhuo, et al.
Published: (2026)
by: Li, Zhuo, et al.
Published: (2026)
VoltanaLLM: Feedback-Driven Frequency Control and State-Space Routing for Energy-Efficient LLM Serving
by: Yu, Jiahuan, et al.
Published: (2025)
by: Yu, Jiahuan, et al.
Published: (2025)
Improving LLM-based Global Optimization with Search Space Partitioning
by: Schwanke, Andrej, et al.
Published: (2025)
by: Schwanke, Andrej, et al.
Published: (2025)
Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
by: Park, Jong Inn, et al.
Published: (2025)
by: Park, Jong Inn, et al.
Published: (2025)
DreamPRM-Code: Function-as-Step Process Reward Model with Label Correction for LLM Coding
by: Zhang, Ruiyi, et al.
Published: (2025)
by: Zhang, Ruiyi, et al.
Published: (2025)
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
by: Kambhampati, Subbarao, et al.
Published: (2024)
by: Kambhampati, Subbarao, et al.
Published: (2024)
Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
by: Ahadi, Pouya, et al.
Published: (2025)
by: Ahadi, Pouya, et al.
Published: (2025)
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
by: Jiang, Xuefeng, et al.
Published: (2024)
by: Jiang, Xuefeng, et al.
Published: (2024)
Improving Label Error Detection and Elimination with Uncertainty Quantification
by: Jakubik, Johannes, et al.
Published: (2024)
by: Jakubik, Johannes, et al.
Published: (2024)
Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning
by: Bushipaka, Praveen, et al.
Published: (2025)
by: Bushipaka, Praveen, et al.
Published: (2025)
Label-Free Subjective Player Experience Modelling via Let's Play Videos
by: Goel, Dave, et al.
Published: (2024)
by: Goel, Dave, et al.
Published: (2024)
LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
by: Han, Dongge, et al.
Published: (2025)
by: Han, Dongge, et al.
Published: (2025)
A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction
by: Gadgil, Karan, et al.
Published: (2023)
by: Gadgil, Karan, et al.
Published: (2023)
Similar Items
-
MuDoC: An Interactive Multimodal Document-grounded Conversational AI System
by: Taneja, Karan, et al.
Published: (2025) -
Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
by: Taneja, Karan, et al.
Published: (2024) -
Towards a Multimodal Document-grounded Conversational AI System for Education
by: Taneja, Karan, et al.
Published: (2025) -
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
by: Taneja, Karan, et al.
Published: (2026) -
HALT: Hallucination Assessment via Log-probs as Time series
by: Shapiro, Ahmad, et al.
Published: (2026)