:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Han, Shou-Tzu, Rizk, Rodrigue, Santosh, KC
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2604.01639
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LakotaBERT: A Transformer-based Model for Low Resource Lakota Language
by: Parankusham, Kanishka, et al.
Published: (2025)

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision
by: Khadka, Puskal, et al.
Published: (2025)

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
by: Wall, Casey, et al.
Published: (2025)

AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
by: Santosh, KC, et al.
Published: (2026)

Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
by: Santosh, KC, et al.
Published: (2025)

Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring
by: Rasmussen, Nicholas R., et al.
Published: (2025)

I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging
by: Yadav, Nand Kumar, et al.
Published: (2025)

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
by: Yadav, Nand Kumar, et al.
Published: (2025)

Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2025)

Mechanistic Decoding of Cognitive Constructs in Large Language Models
by: Shou, Yitong, et al.
Published: (2026)

Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs
by: Wu, Zhihao, et al.
Published: (2026)

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning
by: Zhang, Dongxu, et al.
Published: (2025)

How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
by: Kassem, Aly M., et al.
Published: (2025)

Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations
by: Cheng, Pengzhou, et al.
Published: (2025)

Taming the Fragility of KV Cache Eviction in LLM Inference
by: Feng, Yuan, et al.
Published: (2025)

Enhancing Medication Recommendation with LLM Text Representation
by: Lee, Yu-Tzu
Published: (2024)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations
by: Li, Shanghao, et al.
Published: (2026)

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
by: Aravindan, Ashwath Vaithinathan, et al.
Published: (2026)

Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation
by: Kostić, Bogdan, et al.
Published: (2026)

Bi-cephalic self-attended model to classify Parkinson's disease patients with freezing of gait
by: Mitin, Shomoita Jahid, et al.
Published: (2025)

When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models
by: Li, Chen-An, et al.
Published: (2025)

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning
by: Huang, Yiming, et al.
Published: (2026)

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
by: He, Bowei, et al.
Published: (2025)

Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
by: Wang, Dongwei, et al.
Published: (2024)

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
by: Ong, Kai Tzu-iunn, et al.
Published: (2024)

Algorithmic Fragility and Persona Bias in LLM-Generated Autistic Communication
by: Rizvi, Naba, et al.
Published: (2026)

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning
by: Zhu, Rongzhi, et al.
Published: (2025)

Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI
by: Han, Shou-Tzu
Published: (2025)

Mechanistic Evidence for Faithfulness Decay in Chain-of-Thought Reasoning
by: Ye, Donald, et al.
Published: (2026)

JUDGEBERT: Assessing Legal Meaning Preservation Between Sentences
by: Beauchemin, David, et al.
Published: (2025)

Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding LLMs
by: Sternfeld, Alexander, et al.
Published: (2026)

Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
by: Wang, Boshi, et al.
Published: (2024)

Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey
by: Shou, Yuntao, et al.
Published: (2025)

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection
by: Pan, Zhihong, et al.
Published: (2025)

Simple Mechanistic Explanations for Out-Of-Context Reasoning
by: Wang, Atticus, et al.
Published: (2025)

Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
by: Cox, Kyle, et al.
Published: (2025)

When Thinking Backfires: Mechanistic Insights Into Reasoning-Induced Misalignment
by: Yan, Hanqi, et al.
Published: (2025)

Memorization or Interpolation ? Detecting LLM Memorization through Input Perturbation Analysis
by: Djiré, Albérick Euraste, et al.
Published: (2025)

Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks
by: Kim, Dongjun, et al.
Published: (2025)