Papers with real-world usage
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models (2025.coling-industry)
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| Challenge: | Large Language Models (LLMs) have demonstrated impressive capability to solve a wide range of tasks in recent years. |
| Approach: | They propose to build an on-premise system for LLM evaluation to address the challenges in the evaluation of LLMs in real-world industrial settings. |
| Outcome: | The proposed evaluation system protects customer privacy and protects data integrity in real-world industrial environments. |
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective (2023.emnlp-industry)
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| Challenge: | a study examines how to build meeting summarization systems using large language models . closed-source models are generally better in terms of performance, but open-source ones are more advantageous for industrial use . |
| Approach: | They compare closed-source and open-source meeting summarization models for real-world use . they find that closed-sourced models are generally better in terms of performance . however, smaller open-sourced LLMs could still achieve comparable performance if they are open . |
| Outcome: | The proposed model is more efficient for industrial use than closed-source models due to privacy concerns and high cost. |
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement (2026.eacl-industry)
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Aaditya Shukla, Sidney Knowles, Meenakshi Madugula, David Farris, Ryan Angilly, Santiago Pombo, Lu An, Anbang Xu, Abhinav Balasubramanian, Tan Yu, Jiaxiang Ren, Rama Akkiraju
| Challenge: | NVInfo AI is a generative AI agent that can be deployed in production without full-scale retraining or infrastructure overhauls. |
| Approach: | They propose to implement a retrieval-augmented generation (RAG)-driven data flywheel in NVInfo AI, a mixture-of-experts knowledge assistant, for 30,000 employees. |
| Outcome: | The proposed system addresses failures in retrieval-augmented generation pipelines and enables continuous learning. |
ParsTranslit: Truly Versatile Tajik-Farsi Transliteration (2026.findings-eacl)
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| Challenge: | Despite significant similarities between the two written standards, script differences hinder simple one-to-one mapping, hindering written communication and interaction between Tajikistan and its Persian-speaking “siblings”. |
| Approach: | They propose to use a sequence-to-sequence model to convert between two scripts in a Persian-speaking country using two datasets. |
| Outcome: | The proposed model achieves chrF++ and Normalized CER scores of 87.91 and 0.05 from Farsi to Tajik and 92.28 and 0.04 from Tajikistan to Farsis. |
MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments (2026.acl-long)
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Quyu Kong, Xu Zhang, Zhenyu Yang, Nolan Gao, Chen Liu, Panrong Tong, Chenglin Cai, Hanzhang Zhou, Jianan Zhang, Liangyu Chen, Zhidan Liu, Steven Hoi, Yue Wang
| Challenge: | AndroidWorld is the dominant mobile GUI agent evaluation benchmark, but its success rates are low . despite reproducible emulator environment, it lacks key application categories such as e-commerce and enterprise communication. |
| Approach: | They propose a benchmark for mobile GUI agents that reflects real-world usage through long-horizon, cross-application workflows. |
| Outcome: | The proposed framework achieves over 90% success rates, while AndroidWorld is the dominant benchmark. |
An Interdisciplinary Approach to Human-Centered Machine Translation (2025.emnlp-main)
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Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Fred Blain, Lynne Bowker, Monojit Choudhury, Hal Daumé Iii, Kevin Duh, Ge Gao, Alvin C Grissom II, Marzena Karpinska, Elaine C Khoong, William D. Lewis, Andre Martins, Mary Nurminen, Douglas W. Oard, Maja Popovic, Michel Simard, François Yvon
| Challenge: | Despite progress in MT, a gap persists between how the technology is developed and how it is used in real-world contexts. |
| Approach: | They propose a human-centered approach to machine translation (MT) they argue that MT should be evaluated with diverse goals and contexts of use . |
| Outcome: | The proposed approach emphasizes alignment of evaluation and design with diverse communicative goals and contexts of use. |