Cover Image

Robust Explanations for User Trust in Enterprise NLP Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Guilin, Zhao, Kai, Friedman, Jeffrey, Chu, Xu, Anoun, Amine, Ting, Jerry
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation
by: Zhang, Guilin, et al.
Published: (2026)

NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts
by: Miner, Jordan, et al.
Published: (2024)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks
by: Tahir, Munief Hassan, et al.
Published: (2024)

Beyond Black-Box Labels: Interpretable Criteria for Diagnosing Subjective NLP Tasks
by: Rair, Nisrine, et al.
Published: (2026)

The Dark Side of AI Transformers: Sentiment Polarization & the Loss of Business Neutrality by NLP Transformers
by: Kumar, Prasanna
Published: (2026)

RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
by: Li, Changmao, et al.
Published: (2024)

Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)

GMoE: Empowering LLMs Fine-Tuning via MoE Graph Collaboration
by: Bai, Ting, et al.
Published: (2024)

Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
by: Siegel, Noah Y., et al.
Published: (2025)

Challenges and Opportunities of NLP for HR Applications: A Discussion Paper
by: Leidner, Jochen L., et al.
Published: (2024)

Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions
by: Yun, Taedong, et al.
Published: (2025)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

MISR: Measuring Instrumental Self-Reasoning in Frontier Models
by: Fronsdal, Kai, et al.
Published: (2024)

The Sufficiency-Conciseness Trade-off in LLM Self-Explanation from an Information Bottleneck Perspective
by: Zahedzadeh, Ali, et al.
Published: (2026)

EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search
by: Rathinasamy, Kamalkumar, et al.
Published: (2024)

Low-Resource Court Judgment Summarization for Common Law Systems
by: Liu, Shuaiqi, et al.
Published: (2024)

Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
by: Xu, Shuyao, et al.
Published: (2025)

Semantic Decomposition and Selective Context Filtering -- Text Processing Techniques for Context-Aware NLP-Based Systems
by: Villardar, Karl John
Published: (2025)

KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model
by: HB, Barathi Ganesh, et al.
Published: (2026)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

Large Language Models Can Better Understand Knowledge Graphs Than We Thought
by: Dai, Xinbang, et al.
Published: (2024)

ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
by: Ghosh, Shubhra, et al.
Published: (2025)

Future Language Modeling from Temporal Document History
by: Li, Changmao, et al.
Published: (2024)

Danoliteracy of Generative Large Language Models
by: Holm, Søren Vejlgaard, et al.
Published: (2024)

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought
by: Tan, Xiaoyu, et al.
Published: (2024)

Observations on Building RAG Systems for Technical Documents
by: Soman, Sumit, et al.
Published: (2024)

Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences
by: McGrath, Melanie, et al.
Published: (2024)

RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models
by: Lin, Tianqianjin, et al.
Published: (2025)

Prototype Transformer: Towards Language Model Architectures Interpretable by Design
by: Yordanov, Yordan, et al.
Published: (2026)

Question Answering Over Spatio-Temporal Knowledge Graph
by: Dai, Xinbang, et al.
Published: (2024)

Skill Availability and Presentation Granularity in Large-Language-Model Agents: A Controlled SkillsBench Study
by: Xu, Xiaonan, et al.
Published: (2026)

Robustness of Large Language Models to Perturbations in Text
by: Singh, Ayush, et al.
Published: (2024)

Extreme AutoML: Analysis of Classification, Regression, and NLP Performance
by: Ratner, Edward, et al.
Published: (2024)

LlamBERT: Large-scale low-cost data annotation in NLP
by: Csanády, Bálint, et al.
Published: (2024)

Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
by: Lavrinovics, Ernests, et al.
Published: (2024)

TRUE: A Trustworthy Unified Explanation Framework for Large Language Model Reasoning
by: Yang, Yujiao
Published: (2026)

On Measuring Faithfulness or Self-consistency of Natural Language Explanations
by: Parcalabescu, Letitia, et al.
Published: (2023)

Partially Recentralization Softmax Loss for Vision-Language Models Robustness
by: Wang, Hao, et al.
Published: (2024)