:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Satharasi, Trivikram, Iyengar, S Sitharama
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Databases Information Theory I.2.0
Online Access:	https://arxiv.org/abs/2511.05535
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Large Language Models for Causal Modeling
by: Razouk, Houssam, et al.
Published: (2024)

MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese
by: Teixeira, Tiago, et al.
Published: (2026)

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
by: Zhong, Lin, et al.
Published: (2025)

RTTC: Reward-Guided Collaborative Test-Time Compute
by: Muñoz, J. Pablo, et al.
Published: (2025)

Deploying Large Language Models With Retrieval Augmented Generation
by: Prabhune, Sonal, et al.
Published: (2024)

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration
by: Deng, Minghang, et al.
Published: (2025)

How Data Quality Affects Machine Learning Models for Credit Risk Assessment
by: Maurino, Andrea
Published: (2025)

Fanar: An Arabic-Centric Multimodal Generative AI Platform
by: Fanar Team, et al.
Published: (2025)

ChemPro: A Progressive Chemistry Benchmark for Large Language Models
by: Baranwal, Aaditya, et al.
Published: (2026)

MedSR-Vision: Deep Learning Framework for Multi-Domain Medical Image Super-Resolution
by: Gurappa, Subhash, et al.
Published: (2026)

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
by: Guo, Xu, et al.
Published: (2024)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
by: Venkatasubramanian, Venkat, et al.
Published: (2024)

Modeling Emotions and Ethics with Large Language Models
by: Chang, Edward Y.
Published: (2024)

AI-Oracle Machines for Intelligent Computing
by: Wang, Jie
Published: (2024)

Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026)

Training Language Models to Win Debates with Self-Play Improves Judge Accuracy
by: Arnesen, Samuel, et al.
Published: (2024)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)

Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
by: Li, Zhaoyan, et al.
Published: (2026)

Reducing Selection Bias in Large Language Models
by: Eicher, J. E., et al.
Published: (2024)

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
by: Ren, Wanying, et al.
Published: (2026)

In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
by: Han, Pengrui, et al.
Published: (2024)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors
by: Williamson, Dane, et al.
Published: (2025)

LLMs and the Human Condition
by: Wallis, Peter
Published: (2024)

Thinking Like a Student: AI-Supported Reflective Planning in a Theory-Intensive Computer Science Course
by: Izsak, Noa
Published: (2025)

TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation
by: Du, Bangde, et al.
Published: (2025)

The Information-Theoretic Imperative: Compression and the Epistemic Foundations of Intelligence
by: Dittrich, Christian, et al.
Published: (2025)

Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)

Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
by: Gulaya, Aarik
Published: (2026)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
by: Ackermann, Richard, et al.
Published: (2025)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
by: Saito, Kei
Published: (2025)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)

BabyReasoningBench: Generating Developmentally-Inspired Reasoning Tasks for Evaluating Baby Language Models
by: Dhole, Kaustubh D.
Published: (2026)

CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
by: Surulimuthu, Vivek Vellaiyappan, et al.
Published: (2024)

RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion
by: Chi, Guoxuan, et al.
Published: (2024)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
by: Vegner, Ivan, et al.
Published: (2025)

Box Maze: A Process-Control Architecture for Reliable LLM Reasoning
by: Qiang, Zou
Published: (2026)

Beyond Direct Generation: A Decomposed Approach to Well-Crafted Screenwriting with LLMs
by: Lei, Hang, et al.
Published: (2025)

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)