Saved in:
| Main Authors: | Wang, Yilong, Wang, Qianli, Feldhus, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.01446 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2025)
by: Wang, Qianli, et al.
Published: (2025)
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
by: Wang, Qianli, et al.
Published: (2024)
by: Wang, Qianli, et al.
Published: (2024)
Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
by: Sun, Jingyi, et al.
Published: (2026)
by: Sun, Jingyi, et al.
Published: (2026)
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
by: Wang, Qianli, et al.
Published: (2024)
by: Wang, Qianli, et al.
Published: (2024)
Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall
by: Wang, Qianli, et al.
Published: (2025)
by: Wang, Qianli, et al.
Published: (2025)
Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals
by: Wang, Qianli, et al.
Published: (2025)
by: Wang, Qianli, et al.
Published: (2025)
Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
by: Wang, Qianli, et al.
Published: (2026)
by: Wang, Qianli, et al.
Published: (2026)
Interpreting Language Models Through Concept Descriptions: A Survey
by: Feldhus, Nils, et al.
Published: (2025)
by: Feldhus, Nils, et al.
Published: (2025)
Simplifying Outcomes of Language Model Component Analyses with ELIA
by: Eidt, Aaron Louis, et al.
Published: (2026)
by: Eidt, Aaron Louis, et al.
Published: (2026)
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2026)
by: Wang, Qianli, et al.
Published: (2026)
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
by: Dhaini, Mahdi, et al.
Published: (2025)
by: Dhaini, Mahdi, et al.
Published: (2025)
Judge Circuits
by: Feldhus, Nils, et al.
Published: (2026)
by: Feldhus, Nils, et al.
Published: (2026)
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
by: Wang, Qianli, et al.
Published: (2024)
by: Wang, Qianli, et al.
Published: (2024)
Iterative Counterfactual Data Augmentation
by: Plyler, Mitchell, et al.
Published: (2025)
by: Plyler, Mitchell, et al.
Published: (2025)
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement
by: Jin, Xisen, et al.
Published: (2024)
by: Jin, Xisen, et al.
Published: (2024)
Reasoning Elicitation in Language Models via Counterfactual Feedback
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
ProRefine: Inference-Time Prompt Refinement with Textual Feedback
by: Pandita, Deepak, et al.
Published: (2025)
by: Pandita, Deepak, et al.
Published: (2025)
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
by: Zeng, Xingshan, et al.
Published: (2025)
by: Zeng, Xingshan, et al.
Published: (2025)
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
by: Kopf, Laura, et al.
Published: (2025)
by: Kopf, Laura, et al.
Published: (2025)
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)
by: Xiong, Weimin, et al.
Published: (2024)
Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
by: Liu, Zhenhua, et al.
Published: (2025)
by: Liu, Zhenhua, et al.
Published: (2025)
Enhancing Multilingual Counterfactual Generation through Alignment-as-Preference Optimization
by: Wang, Yilong, et al.
Published: (2026)
by: Wang, Yilong, et al.
Published: (2026)
Iterative Augmentation with Summarization Refinement (IASR) Evaluation for Unstructured Survey data Modeling and Analysis
by: Bhattad, Payal, et al.
Published: (2025)
by: Bhattad, Payal, et al.
Published: (2025)
Can LLMs Learn New Concepts Incrementally without Forgetting?
by: Zheng, Junhao, et al.
Published: (2024)
by: Zheng, Junhao, et al.
Published: (2024)
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
by: Zheng, Junhao, et al.
Published: (2023)
by: Zheng, Junhao, et al.
Published: (2023)
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
by: Xiao, Tim Z., et al.
Published: (2025)
by: Xiao, Tim Z., et al.
Published: (2025)
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision
by: Giannone, Giorgio, et al.
Published: (2025)
by: Giannone, Giorgio, et al.
Published: (2025)
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
by: Zhao, Xuandong, et al.
Published: (2024)
by: Zhao, Xuandong, et al.
Published: (2024)
De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules
by: Guliani, Keerat, et al.
Published: (2026)
by: Guliani, Keerat, et al.
Published: (2026)
Towards Lifelong Learning of Large Language Models: A Survey
by: Zheng, Junhao, et al.
Published: (2024)
by: Zheng, Junhao, et al.
Published: (2024)
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples
by: Zhang, Jianrui, et al.
Published: (2024)
by: Zhang, Jianrui, et al.
Published: (2024)
Self-Refinement of Language Models from External Proxy Metrics Feedback
by: Ramji, Keshav, et al.
Published: (2024)
by: Ramji, Keshav, et al.
Published: (2024)
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)
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
by: Ye, Yaowen, et al.
Published: (2025)
by: Ye, Yaowen, et al.
Published: (2025)
Enough Coin Flips Can Make LLMs Act Bayesian
by: Gupta, Ritwik, et al.
Published: (2025)
by: Gupta, Ritwik, et al.
Published: (2025)
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
by: Yoon, Youngsik, et al.
Published: (2026)
by: Yoon, Youngsik, et al.
Published: (2026)
Counterfactual Generation with Identifiability Guarantees
by: Yan, Hanqi, et al.
Published: (2024)
by: Yan, Hanqi, et al.
Published: (2024)
iFairy: the First 2-bit Complex LLM with All Parameters in $\{\pm1, \pm i\}$
by: Wang, Feiyu, et al.
Published: (2025)
by: Wang, Feiyu, et al.
Published: (2025)
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models
by: Tuan, Yi-Lin, et al.
Published: (2024)
by: Tuan, Yi-Lin, et al.
Published: (2024)
Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)
by: Wang, Qibin, et al.
Published: (2025)
Similar Items
-
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2025) -
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
by: Wang, Qianli, et al.
Published: (2024) -
Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
by: Sun, Jingyi, et al.
Published: (2026) -
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
by: Wang, Qianli, et al.
Published: (2024) -
Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall
by: Wang, Qianli, et al.
Published: (2025)