Cover Image

ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brassard, Ana, Heinzerling, Benjamin, Kudo, Keito, Sakaguchi, Keisuke, Inui, Kentaro
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference
by: Kamoda, Go, et al.
Published: (2025)

LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics
by: Kudo, Keito, et al.
Published: (2024)

The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models
by: Takahashi, Ryosuke, et al.
Published: (2024)

First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
by: Aoki, Yoichi, et al.
Published: (2024)

Monotonic Representation of Numeric Properties in Language Models
by: Heinzerling, Benjamin, et al.
Published: (2024)

Nodes Are Early, Edges Are Late: Probing Diagram Representations in Large Vision-Language Models
by: Yoshida, Haruto, et al.
Published: (2026)

Representational Analysis of Binding in Language Models
by: Dai, Qin, et al.
Published: (2024)

Cell-Based Representation of Relational Binding in Language Models
by: Dai, Qin, et al.
Published: (2026)

Can Language Models Handle a Non-Gregorian Calendar? The Case of the Japanese wareki
by: Sasaki, Mutsumi, et al.
Published: (2025)

TopK Language Models
by: Takahashi, Ryosuke, et al.
Published: (2025)

Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge
by: Zhang, Ying, et al.
Published: (2025)

J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema
by: Matsuzaki, Kosuke, et al.
Published: (2024)

The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces
by: El-Shangiti, Ahmed Oumar, et al.
Published: (2024)

Linear Representations of Hierarchical Concepts in Language Models
by: Sakata, Masaki, et al.
Published: (2026)

On Entity Identification in Language Models
by: Sakata, Masaki, et al.
Published: (2025)

Hidden Failures in Robustness: Why Supervised Uncertainty Quantification Needs Better Evaluation
by: Stacey, Joe, et al.
Published: (2026)

FinchGPT: a Transformer based language model for birdsong analysis
by: Kobayashi, Kosei, et al.
Published: (2025)

AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios
by: Alazraki, Lisa, et al.
Published: (2025)

Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems
by: Coyne, Steven, et al.
Published: (2025)

Rectifying Belief Space via Unlearning to Harness LLMs' Reasoning
by: Niwa, Ayana, et al.
Published: (2025)

How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders
by: Inaba, Tatsuro, et al.
Published: (2025)

Repetition Neurons: How Do Language Models Produce Repetitions?
by: Hiraoka, Tatsuya, et al.
Published: (2024)

Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters
by: Hiraoka, Tatsuya, et al.
Published: (2025)

Self-Training Meets Consistency: Improving LLMs' Reasoning with Consistency-Driven Rationale Evaluation
by: Lee, Jaehyeok, et al.
Published: (2024)

RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
by: Nwadike, Munachiso, et al.
Published: (2025)

PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
by: Fujii, Ryo, et al.
Published: (2020)

Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance
by: Ozaki, Shintaro, et al.
Published: (2025)

Unlocking Prompt Infilling Capability for Diffusion Language Models
by: Fujinuma, Yoshinari, et al.
Published: (2026)

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
by: He, Jie, et al.
Published: (2025)

RealTime QA: What's the Answer Right Now?
by: Kasai, Jungo, et al.
Published: (2022)

Commonsense Reasoning in Arab Culture
by: Sadallah, Abdelrahman, et al.
Published: (2025)

Reconsidering Positional Supervision in Masked Diffusion Language Model Training
by: Ye, Mengyu, et al.
Published: (2026)

Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
by: Galvan-Sosa, Diana, et al.
Published: (2025)

Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
by: Chang, Tyler A., et al.
Published: (2025)

Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
by: Doan, Nhi Hoai, et al.
Published: (2025)

Measuring AI Reasoning: A Guide for Researchers
by: Nwadike, Munachiso Samuel, et al.
Published: (2026)

Evaluating the Evaluation of Diversity in Commonsense Generation
by: Zhang, Tianhui, et al.
Published: (2025)

A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
by: Sato, Shiki, et al.
Published: (2024)

Syntactic Learnability of Echo State Neural Language Models at Scale
by: Ueda, Ryo, et al.
Published: (2025)

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
by: Kobayashi, Goro, et al.
Published: (2023)