Cover Image

Support-Contra Asymmetry in LLM Explanations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Patil, Avinash
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
by: Patil, Avinash, et al.
Published: (2025)

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards
by: Patil, Avinash
Published: (2025)

Advancing Reasoning in Large Language Models: Promising Methods and Approaches
by: Patil, Avinash, et al.
Published: (2025)

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
by: Jadon, Aryan, et al.
Published: (2025)

Evaluating Reasoning LLMs for Suicide Screening with the Columbia-Suicide Severity Rating Scale
by: Patil, Avinash, et al.
Published: (2025)

Effective Explanations Support Planning Under Uncertainty
by: Zhou, Hanqi, et al.
Published: (2026)

Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry
by: Peng, Run, et al.
Published: (2025)

Protect: Towards Robust Guardrailing Stack for Trustworthy Enterprise LLM Systems
by: Avinash, Karthik, et al.
Published: (2025)

Counterfactual Simulatability of LLM Explanations for Generation Tasks
by: Limpijankit, Marvin, et al.
Published: (2025)

LLM Self-Explanations Fail Semantic Invariance
by: Szeider, Stefan
Published: (2026)

LLM-as-a-Judge for Time Series Explanations
by: Sivalingam, Preetham, et al.
Published: (2026)

STRUX: An LLM for Decision-Making with Structured Explanations
by: Lu, Yiming, et al.
Published: (2024)

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification
by: Rahulamathavan, Yogachandran, et al.
Published: (2025)

Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations
by: Gajcin, Jasmina, et al.
Published: (2025)

When Informal Text Breaks NLI: Tokenization Failure, Distribution Shift, and Targeted Mitigations
by: Aluguvelly, Avinash Goutham
Published: (2026)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025)

LLaVul: A Multimodal LLM for Interpretable Vulnerability Reasoning about Source Code
by: Jararweh, Ala, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)

Evaluating Causal Explanation in Medical Reports with LLM-Based and Human-Aligned Metrics
by: Cho, Yousang, et al.
Published: (2025)

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
by: Kim, Juyeon, et al.
Published: (2024)

XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
by: Chen, Zichen, et al.
Published: (2023)

Sarang at DEFACTIFY 4.0: Detecting AI-Generated Text Using Noised Data and an Ensemble of DeBERTa Models
by: Trivedi, Avinash, et al.
Published: (2025)

Say It Differently: Linguistic Styles as Jailbreak Vectors
by: Panda, Srikant, et al.
Published: (2025)

Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
by: Dhaini, Mahdi, et al.
Published: (2025)

Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English
by: Zhou, Runtao, et al.
Published: (2025)

LLM-Supported Natural Language to Bash Translation
by: Westenfelder, Finnian, et al.
Published: (2025)

Faithfulness Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance
by: Alon, Bar, et al.
Published: (2026)

Emotional Support with LLM-based Empathetic Dialogue Generation
by: Wang, Shiquan, et al.
Published: (2025)

RAGE Against the Machine: Retrieval-Augmented LLM Explanations
by: Rorseth, Joel, et al.
Published: (2024)

Directional Optimization Asymmetry in Transformers: A Synthetic Stress Test
by: Sahasrabudhe, Mihir
Published: (2025)

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

Alleviating Choice Supportive Bias in LLM with Reasoning Dependency Generation
by: Zhuang, Nan, et al.
Published: (2025)

MedGellan: LLM-Generated Medical Guidance to Support Physicians
by: Banerjee, Debodeep, et al.
Published: (2025)

READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data
by: Sharma, Rohit, et al.
Published: (2025)

Factors That Support Grounded Responses in LLM Conversations: A Rapid Review
by: Iwashima, Gabriele Cesar, et al.
Published: (2025)

Reasoning with Natural Language Explanations
by: Valentino, Marco, et al.
Published: (2024)

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
by: Baidya, Avinash, et al.
Published: (2025)

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
by: Li, Zhuochun, et al.
Published: (2026)

LLM4Sweat: A Trustworthy Large Language Model for Hyperhidrosis Support
by: Lin, Wenjie, et al.
Published: (2025)