Understanding Post-hoc Explainers: The Case of Anchors
Fuente:
arXiv
Saved in:
| Main Authors: | Lopardo, Gianluigi, Precioso, Frederic, Garreau, Damien |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022)
by: Lopardo, Gianluigi, et al.
Published: (2022)
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
by: Lopardo, Gianluigi, et al.
Published: (2024)
by: Lopardo, Gianluigi, et al.
Published: (2024)
Faithful and Robust Local Interpretability for Textual Predictions
by: Lopardo, Gianluigi, et al.
Published: (2023)
by: Lopardo, Gianluigi, et al.
Published: (2023)
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022)
by: Lopardo, Gianluigi, et al.
Published: (2022)
WolBanking77: Wolof Banking Speech Intent Classification Dataset
by: Kandji, Abdou Karim, et al.
Published: (2025)
by: Kandji, Abdou Karim, et al.
Published: (2025)
The Effect of Model Size on LLM Post-hoc Explainability via LIME
by: Heyen, Henning, et al.
Published: (2024)
by: Heyen, Henning, et al.
Published: (2024)
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)
In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
by: Kroeger, Nicholas, et al.
Published: (2023)
by: Kroeger, Nicholas, et al.
Published: (2023)
Towards Understanding Steering Strength
by: Taimeskhanov, Magamed, et al.
Published: (2026)
by: Taimeskhanov, Magamed, et al.
Published: (2026)
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
Transformer Explainer: Interactive Learning of Text-Generative Models
by: Cho, Aeree, et al.
Published: (2024)
by: Cho, Aeree, et al.
Published: (2024)
Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)
by: Huang, Zenan, et al.
Published: (2025)
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
by: Lee, Seongmin, et al.
Published: (2023)
by: Lee, Seongmin, et al.
Published: (2023)
MMD-Flagger: Leveraging Maximum Mean Discrepancy to Detect Hallucinations
by: Mitsuzawa, Kensuke, et al.
Published: (2025)
by: Mitsuzawa, Kensuke, et al.
Published: (2025)
SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs
by: Lee, Chanuk, et al.
Published: (2026)
by: Lee, Chanuk, et al.
Published: (2026)
Constraining Sequential Model Editing with Editing Anchor Compression
by: Xu, Hao-Xiang, et al.
Published: (2025)
by: Xu, Hao-Xiang, et al.
Published: (2025)
Thought Anchors: Which LLM Reasoning Steps Matter?
by: Bogdan, Paul C., et al.
Published: (2025)
by: Bogdan, Paul C., et al.
Published: (2025)
Laying Anchors: Semantically Priming Numerals in Language Modeling
by: Sharma, Mandar, et al.
Published: (2024)
by: Sharma, Mandar, et al.
Published: (2024)
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)
by: Sheshanarayana, Disha, et al.
Published: (2026)
Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
GLEAMS: Bridging the Gap Between Local and Global Explanations
by: Visani, Giorgio, et al.
Published: (2024)
by: Visani, Giorgio, et al.
Published: (2024)
Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models
by: Zhao, Dachuan, et al.
Published: (2025)
by: Zhao, Dachuan, et al.
Published: (2025)
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
by: Gan, Zeyu, et al.
Published: (2024)
by: Gan, Zeyu, et al.
Published: (2024)
Explainable embeddings with Distance Explainer
by: Meijer, Christiaan, et al.
Published: (2025)
by: Meijer, Christiaan, et al.
Published: (2025)
On Evaluation Protocols for Data Augmentation in a Limited Data Scenario
by: Piedboeuf, Frédéric, et al.
Published: (2024)
by: Piedboeuf, Frédéric, et al.
Published: (2024)
Post-edits Are Preferences Too
by: Berger, Nathaniel, et al.
Published: (2024)
by: Berger, Nathaniel, et al.
Published: (2024)
Prioritized Replay for RL Post-training
by: Fatemi, Mehdi
Published: (2026)
by: Fatemi, Mehdi
Published: (2026)
Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models
by: Keyaki, Atsushi, et al.
Published: (2024)
by: Keyaki, Atsushi, et al.
Published: (2024)
Post-hoc Reward Calibration: A Case Study on Length Bias
by: Huang, Zeyu, et al.
Published: (2024)
by: Huang, Zeyu, et al.
Published: (2024)
Automatic Pair Construction for Contrastive Post-training
by: Xu, Canwen, et al.
Published: (2023)
by: Xu, Canwen, et al.
Published: (2023)
Emotion Detection From Social Media Posts
by: Rahman, Md Mahbubur, et al.
Published: (2023)
by: Rahman, Md Mahbubur, et al.
Published: (2023)
Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models
by: Leyton-Brown, Kevin, et al.
Published: (2024)
by: Leyton-Brown, Kevin, et al.
Published: (2024)
Post-Training Sparse Attention with Double Sparsity
by: Yang, Shuo, et al.
Published: (2024)
by: Yang, Shuo, et al.
Published: (2024)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Language hooks: a modular framework for augmenting LLM reasoning that decouples tool usage from the model and its prompt
by: de Mijolla, Damien, et al.
Published: (2024)
by: de Mijolla, Damien, et al.
Published: (2024)
Efficient Post-training Quantization with FP8 Formats
by: Shen, Haihao, et al.
Published: (2023)
by: Shen, Haihao, et al.
Published: (2023)
Post-training for Efficient Communication via Convention Formation
by: Hua, Yilun, et al.
Published: (2025)
by: Hua, Yilun, et al.
Published: (2025)
Mapping Post-Training Forgetting in Language Models at Scale
by: Harmon, Jackson, et al.
Published: (2025)
by: Harmon, Jackson, et al.
Published: (2025)
Can Post-Training Transform LLMs into Causal Reasoners?
by: Chen, Junqi, et al.
Published: (2026)
by: Chen, Junqi, et al.
Published: (2026)
Similar Items
-
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022) -
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
by: Lopardo, Gianluigi, et al.
Published: (2024) -
Faithful and Robust Local Interpretability for Textual Predictions
by: Lopardo, Gianluigi, et al.
Published: (2023) -
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022) -
WolBanking77: Wolof Banking Speech Intent Classification Dataset
by: Kandji, Abdou Karim, et al.
Published: (2025)