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20242026
most citedA Comparative Study of Quality Evaluation Methods for Text Summarization

6 citations · 11 across the 9 of their papers we have counts for

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physics.flu-dyn2026

SAGE-PINN: A Singularity-free Axisymmetric Geometry-Encoded Physics-Informed Neural Network for Axisymmetric Multiphysics Flow in Cylindrical Coordinates

Raj Maurya, Joyprakash Akhuli, Doyel Pandey

Physics-informed neural networks (PINNs) provide a mesh-free framework for multiphysics modeling, yet fluid flow in axisymmetric cylindrical coordinates remains largely unexplored…

cs.CL2026

Lexical Perturbations Disrupt LLM Reasoning: An Empirical Study of Attention Diversion

Jiaqian Zhu, Yang Zhang, Junhua Ding +1

Large Language Models (LLMs) achieve strong reasoning performance, but their robustness to realistic lexical corruption remains poorly understood. We evaluate four open-weight inst…

cs.CL2026

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory

Jinze Li, Yang Zhang, Xin Yang +5

Autonomous LLM agents increasingly operate in long-horizon, interactive settings where success depends on reusing experience accumulated over extended histories. However, existing…

cs.AI2026

MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation

Haoxuan Zhang, Ruochi Li, Yang Zhang +4

The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparency and governance. However, manual creation of Model and Data Cards is not scal…

cs.CL2026

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation

Huyen Nguyen, Haoxuan Zhang, Yang Zhang +2

Reliable evaluation of large language model (LLM)-generated summaries remains an open challenge, particularly across heterogeneous domains and document lengths. We conduct a compre…

cs.CL2026

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization

Huyen Nguyen, Haoxuan Zhang, Yang Zhang +2

Evaluating long document summaries remains the primary bottleneck in summarization research. Existing metrics correlate weakly with human judgments and produce aggregate scores wit…

cs.AI2026

AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation

Haoxuan Zhang, Ruochi Li, Zhenni Liang +7

Transparent and standardized documentation is essential for building trustworthy generative AI (GAI) systems. However, existing automated methods for generating model and data card…