Text Readability Assessment for Second Language Learners. - Menglin Xia; Ekaterina Kochmar; Ted Briscoe (BEA@NAACL-HLT, 2016)

Automatic learner summary assessment for reading comprehension. - Menglin Xia; Ekaterina Kochmar; Ted Briscoe (NAACL-HLT (1), 2019)

Text readability and summarisation for non-native reading comprehension. - Menglin Xia (2019)

Generating Semantically Valid Adversarial Questions for TableQA. - Yi Zhu; Menglin Xia; Yiwei Zhou (CoRR, 2020)

Multilingual Neural Semantic Parsing for Low-Resourced Languages. - Menglin Xia; Emilio Monti (*SEM, 2021)

Framework for Accounting Reference Levels for REDD+ in Tropical Forests: Case Study from Xishuangbanna, China. - Guifang Liu; Yafei Feng; Menglin Xia; Heli Lu; Ruimin Guan; Kazuhiro Harada; Chuanrong Zhang (Remote. Sens., 2021)

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance. - Xuchao Zhang; Menglin Xia; Camille Couturier; Guoqing Zheng; Saravan Rajmohan; Victor Rühle (CoRR, 2023)

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. - Lukas Wutschitz; Boris Köpf; Andrew Paverd; Saravan Rajmohan; Ahmed Salem 001; Shruti Tople; Santiago Zanella-Béguelin; Menglin Xia; Victor Rühle (CoRR, 2023)

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models. - Mohammad Mahdi Derakhshani; Menglin Xia; Harkirat Behl; Cees G. M. Snoek; Victor Rühle (CoRR, 2023)

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Menglin Xia; Xufang Luo; Jue Zhang; Qingwei Lin; Victor Rühle; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; et al. (ACL (Findings), 2024)

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. - Menglin Xia; Xuchao Zhang; Camille Couturier; Guoqing Zheng; Saravan Rajmohan; Victor Rühle (EMNLP (Industry Track), 2024)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle (CoRR, 2024)

Permissive Information-Flow Analysis for Large Language Models. - Shoaib Ahmed Siddiqui; Radhika Gaonkar; Boris Köpf; David Krueger 001; Andrew Paverd; Ahmed Salem 001; Shruti Tople; Lukas Wutschitz; Menglin Xia; Santiago Zanella-Béguelin (CoRR, 2024)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Perspective. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (CoRR, 2024)

EcoAct: Economic Agent Determines When to Register What Action. - Shaokun Zhang; Jieyu Zhang 001; Dujian Ding; Mirian Hipolito Garcia; Ankur Mallick; Daniel Madrigal; Menglin Xia; Victor Rühle; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle; Saravan Rajmohan (ACL (Findings), 2025)

On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. - Shoaib Ahmed Siddiqui; Yanzhi Chen; Juyeon Heo; Menglin Xia; Adrian Weller (COLING, 2025)

Minerva: A Programmable Memory Test Benchmark for Language Models. - Menglin Xia; Victor Rühle; Saravan Rajmohan; Reza Shokri (CoRR, 2025)

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. - Dongge Han; Menglin Xia; Daniel Madrigal Diaz; Samuel Kessler; Ankur Mallick; Xuchao Zhang; Mirian del Carmen Hipolito Garcia; Jin Xu; Victor Rühle; Saravan Rajmohan (CoRR, 2025)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. - Dujian Ding; Ankur Mallick; Shaokun Zhang; Chi Wang 001; Daniel Madrigal; Mirian del Carmen Hipolito Garcia; Menglin Xia; Laks V. S. Lakshmanan; Qingyun Wu; Victor Rühle (CoRR, 2025)