Saved in:
| Main Author: | Reddy, Mohan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.18302 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Keyhole Effect: Why Chat Interfaces Fail at Data Analysis
by: Reddy, Mohan
Published: (2026)
by: Reddy, Mohan
Published: (2026)
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
by: Xie, Qiujie, et al.
Published: (2025)
by: Xie, Qiujie, et al.
Published: (2025)
An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)
by: Liu, Xinyi, et al.
Published: (2024)
CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models
by: Tong, Haibo, et al.
Published: (2026)
by: Tong, Haibo, et al.
Published: (2026)
CEFW: A Comprehensive Evaluation Framework for Watermark in Large Language Models
by: Zhang, Shuhao, et al.
Published: (2025)
by: Zhang, Shuhao, et al.
Published: (2025)
Are Large Language Models Truly Smarter Than Humans?
by: M, Eshwar Reddy, et al.
Published: (2026)
by: M, Eshwar Reddy, et al.
Published: (2026)
CosineGate: Semantic Dynamic Routing via Cosine Incompatibility in Residual Networks
by: Thota, Yogeswar Reddy
Published: (2025)
by: Thota, Yogeswar Reddy
Published: (2025)
Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)
by: Li, Hongyu, et al.
Published: (2024)
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
by: Hu, Zhengyu, et al.
Published: (2025)
by: Hu, Zhengyu, et al.
Published: (2025)
ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
by: Nguyen, Trong-Hieu, et al.
Published: (2024)
by: Nguyen, Trong-Hieu, et al.
Published: (2024)
Output Scouting: Auditing Large Language Models for Catastrophic Responses
by: Bell, Andrew, et al.
Published: (2024)
by: Bell, Andrew, et al.
Published: (2024)
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
by: Zhou, Changzhi, et al.
Published: (2024)
by: Zhou, Changzhi, et al.
Published: (2024)
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
by: Budagam, Devichand, et al.
Published: (2024)
by: Budagam, Devichand, et al.
Published: (2024)
LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
by: Shahid, Muhammad Usman, et al.
Published: (2025)
by: Shahid, Muhammad Usman, et al.
Published: (2025)
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
by: Tan, Yuqiao, et al.
Published: (2025)
by: Tan, Yuqiao, et al.
Published: (2025)
A Comprehensive Evaluation of Large Language Models on Mental Illnesses
by: Hanafi, Abdelrahman, et al.
Published: (2024)
by: Hanafi, Abdelrahman, et al.
Published: (2024)
No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
by: Kumar, Charaka Vinayak, et al.
Published: (2025)
by: Kumar, Charaka Vinayak, et al.
Published: (2025)
Language Models Largely Exhibit Human-like Constituent Ordering Preferences
by: Tur, Ada Defne, et al.
Published: (2025)
by: Tur, Ada Defne, et al.
Published: (2025)
Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study
by: Liu, Yinuo, et al.
Published: (2026)
by: Liu, Yinuo, et al.
Published: (2026)
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
by: Huang, Jianheng, et al.
Published: (2024)
by: Huang, Jianheng, et al.
Published: (2024)
TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning
by: Huang, Morris Yu-Chao, et al.
Published: (2025)
by: Huang, Morris Yu-Chao, et al.
Published: (2025)
Individualized Cognitive Simulation in Large Language Models: Evaluating Different Cognitive Representation Methods
by: Zhang, Tianyi, et al.
Published: (2025)
by: Zhang, Tianyi, et al.
Published: (2025)
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
by: Elangovan, Aparna, et al.
Published: (2024)
by: Elangovan, Aparna, et al.
Published: (2024)
SciTrust 2.0: A Comprehensive Framework for Evaluating Trustworthiness of Large Language Models in Scientific Applications
by: Herron, Emily, et al.
Published: (2025)
by: Herron, Emily, et al.
Published: (2025)
EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks
by: Yang, Xiao, et al.
Published: (2025)
by: Yang, Xiao, et al.
Published: (2025)
An Empirical Evaluation of Large Language Models on Consumer Health Questions
by: Abrar, Moaiz, et al.
Published: (2024)
by: Abrar, Moaiz, et al.
Published: (2024)
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
by: Wu, Yixi, et al.
Published: (2024)
by: Wu, Yixi, et al.
Published: (2024)
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by: Niu, Qian, et al.
Published: (2024)
by: Niu, Qian, et al.
Published: (2024)
Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
by: Li, Zhuoqun, et al.
Published: (2024)
by: Li, Zhuoqun, et al.
Published: (2024)
A Comprehensive Evaluation of Quantization Strategies for Large Language Models
by: Jin, Renren, et al.
Published: (2024)
by: Jin, Renren, et al.
Published: (2024)
A Comprehensive Evaluation on Event Reasoning of Large Language Models
by: Tao, Zhengwei, et al.
Published: (2024)
by: Tao, Zhengwei, et al.
Published: (2024)
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
by: Song, Xinyi, et al.
Published: (2025)
by: Song, Xinyi, et al.
Published: (2025)
Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
by: Ding, Fei, et al.
Published: (2025)
by: Ding, Fei, et al.
Published: (2025)
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
SoK: a Comprehensive Causality Analysis Framework for Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)
by: Zhao, Wei, et al.
Published: (2025)
On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
by: Li, Yige, et al.
Published: (2024)
by: Li, Yige, et al.
Published: (2024)
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
by: Li, Guozheng, et al.
Published: (2024)
by: Li, Guozheng, et al.
Published: (2024)
Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)
by: Adapala, Sai Teja Reddy
Published: (2025)
The Architecture of Cognitive Amplification: Enhanced Cognitive Scaffolding as a Resolution to the Comfort-Growth Paradox in Human-AI Cognitive Integration
by: Riva, Giuseppe
Published: (2025)
by: Riva, Giuseppe
Published: (2025)
Similar Items
-
The Keyhole Effect: Why Chat Interfaces Fail at Data Analysis
by: Reddy, Mohan
Published: (2026) -
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
by: Xie, Qiujie, et al.
Published: (2025) -
An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024) -
CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models
by: Tong, Haibo, et al.
Published: (2026) -
CEFW: A Comprehensive Evaluation Framework for Watermark in Large Language Models
by: Zhang, Shuhao, et al.
Published: (2025)