:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chan, Jason, Zhao, Zhixue, Gaizauskas, Robert
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2603.22735
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning
by: Chan, Jason, et al.
Published: (2025)

Position: Logical Soundness is not a Reliable Criterion for Neurosymbolic Fact-Checking with LLMs
by: Chan, Jason, et al.
Published: (2026)

RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
by: Chan, Jason, et al.
Published: (2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
by: Zhao, Zhixue, et al.
Published: (2024)

It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
by: Li, Yue, et al.
Published: (2025)

Tracing and Reversing Edits in LLMs
by: Youssef, Paul, et al.
Published: (2025)

How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
by: Youssef, Paul, et al.
Published: (2024)

ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models
by: Zhao, Zhixue, et al.
Published: (2024)

Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models
by: Li, Yue, et al.
Published: (2024)

Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
by: Lewis-Lim, Samuel, et al.
Published: (2025)

From Early Encoding to Late Suppression: Interpreting LLMs on Character Counting Tasks
by: Datta, Ayan, et al.
Published: (2026)

Survey-to-Behavior: Downstream Alignment of Human Values in LLMs via Survey Questions
by: Nie, Shangrui, et al.
Published: (2025)

Incorporating Attribution Importance for Improving Faithfulness Metrics
by: Zhao, Zhixue, et al.
Published: (2023)

Exploring Vision Language Models for Multimodal and Multilingual Stance Detection
by: Vasilakes, Jake, et al.
Published: (2025)

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding
by: Zhou, Yigeng, et al.
Published: (2026)

Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
by: Schlicht, Ipek Baris, et al.
Published: (2025)

Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusion
by: Ramesh, Samarth N, et al.
Published: (2024)

Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
by: Gokul, Vignesh, et al.
Published: (2025)

SCRum-9: Multilingual Stance Classification over Rumours on Social Media
by: Li, Yue, et al.
Published: (2025)

Generating Medically-Informed Explanations for Depression Detection using LLMs
by: Chen, Xiangyong, et al.
Published: (2025)

Unpacking the Resilience of SNLI Contradiction Examples to Attacks
by: Verma, Chetan, et al.
Published: (2024)

Attention Consistency for LLMs Explanation
by: Lan, Tian, et al.
Published: (2025)

Has this Fact been Edited? Detecting Knowledge Edits in Language Models
by: Youssef, Paul, et al.
Published: (2024)

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)

A Straightforward Pipeline for Targeted Entailment and Contradiction Detection
by: Sulc, Antonin
Published: (2025)

Gödel Mirror: A Formal System For Contradiction-Driven Recursion
by: Chan, Jhet
Published: (2025)

PERSPECTRA: A Scalable and Configurable Pluralist Benchmark of Perspectives from Arguments
by: Nie, Shangrui, et al.
Published: (2026)

Bridging the Gap: In-Context Learning for Modeling Human Disagreement
by: Muscato, Benedetta, et al.
Published: (2025)

Position: Editing Large Language Models Poses Serious Safety Risks
by: Youssef, Paul, et al.
Published: (2025)

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
by: Hou, Yufang, et al.
Published: (2024)

DRIV-EX: Counterfactual Explanations for Driving LLMs
by: Cardiel, Amaia, et al.
Published: (2026)

Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
by: Lewis-Lim, Samuel, et al.
Published: (2025)

Argument-Based Consistency in Toxicity Explanations of LLMs
by: Mothilal, Ramaravind Kommiya, et al.
Published: (2025)

Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification
by: Nguyen, Van Bach, et al.
Published: (2025)

Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
by: Fragkathoulas, Christos, et al.
Published: (2024)

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
by: Xu, Haike, et al.
Published: (2024)

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
by: Kim, Kyungha, et al.
Published: (2024)

ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
by: Li, Jierui, et al.
Published: (2023)

Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
by: Valentino, Marco, et al.
Published: (2025)

Can Fine-Tuning Erase Your Edits? On the Fragile Coexistence of Knowledge Editing and Adaptation
by: Cheng, Yinjie, et al.
Published: (2025)