Molly Xia

Senior Researcher

Publications

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- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication Project
- TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
  
  Shivam Shandilya, Menglin Xia, Supriyo GHOSH, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Ruehle, Saravan Rajmohan
  
  ACL 2025 Findings | August 2025
  
  Publication Project
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication Project
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
  
  Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Hipolito Garcia, Menglin Xia, L. Lakshmanan, Qingyun Wu, Victor Ruehle
  
  ArXiv | June 2025, Vol abs/2506.22716
  
  DOI Publication Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication Project
- EcoAct: Economic Agent Determines When to Register What Action
  
  Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Ruehle, Qingyun Wu, Chi Wang
  
  ICLR Workshop on Reasoning and Planning for Large Language Models | April 2025
  
  Publication Project Project
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication Project
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | November 2024
  
  Preprint Project
- On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspective
  
  Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
  
  COLING 2025 | October 2024
  
  DOI Publication Publication
- 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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- Unlocking Spatial Comprehension in Text-to-Image Diffusion Models
  
  Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle
  
  November 2023
  
  Publication

- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication Project
- TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
  
  Shivam Shandilya, Menglin Xia, Supriyo GHOSH, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Ruehle, Saravan Rajmohan
  
  ACL 2025 Findings | August 2025
  
  Publication Project
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication Project
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
  
  Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Hipolito Garcia, Menglin Xia, L. Lakshmanan, Qingyun Wu, Victor Ruehle
  
  ArXiv | June 2025, Vol abs/2506.22716
  
  DOI Publication Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication Project
- EcoAct: Economic Agent Determines When to Register What Action
  
  Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Ruehle, Qingyun Wu, Chi Wang
  
  ICLR Workshop on Reasoning and Planning for Large Language Models | April 2025
  
  Publication Project Project
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication Project
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | November 2024
  
  Preprint Project
- On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspective
  
  Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
  
  COLING 2025 | October 2024
  
  DOI Publication Publication
- 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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- Unlocking Spatial Comprehension in Text-to-Image Diffusion Models
  
  Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle
  
  November 2023
  
  Publication
- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication Project
- 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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project

- Permissive Information-Flow Analysis for Large Language Models
  
  Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Béguelin
  
  Transactions on Machine Learning Research (TMLR) | October 2025
  
  Publication Publication Project
- BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
  
  Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Hipolito Garcia, Menglin Xia, L. Lakshmanan, Qingyun Wu, Victor Ruehle
  
  ArXiv | June 2025, Vol abs/2506.22716
  
  DOI Publication Publication
- TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
  
  Shivam Shandilya, Menglin Xia, Supriyo GHOSH, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Ruehle, Saravan Rajmohan
  
  ACL 2025 Findings | August 2025
  
  Publication Project
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication Project
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication Project
- EcoAct: Economic Agent Determines When to Register What Action
  
  Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Ruehle, Qingyun Wu, Chi Wang
  
  ICLR Workshop on Reasoning and Planning for Large Language Models | April 2025
  
  Publication Project Project
- On Efficient Distillation from LLMs to SLMs
  
  Metod Jazbec, Menglin Xia, Ankur Mallick, Daniel Madrigal, Dongge Han, Samuel Kessler, Victor Ruehle
  
  NeurIPS FITML workshop 2024 | December 2024
  
  Publication Project
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | November 2024
  
  Preprint Project
- On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspective
  
  Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller
  
  COLING 2025 | October 2024
  
  DOI Publication Publication
- 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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
  
  The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
  
  Preprint Project Project
- Unlocking Spatial Comprehension in Text-to-Image Diffusion Models
  
  Mohammad Mahdi Derakhshani, Menglin Xia, Harkirat Behl, Cees G. M. Snoek, Victor Rühle
  
  November 2023
  
  Publication

Molly Xia

Publications

Permissive Information-Flow Analysis for Large Language Models

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

Minerva: A Programmable Memory Test Benchmark for Language Models

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

EcoAct: Economic Agent Determines When to Register What Action

On Efficient Distillation from LLMs to SLMs

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspective

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models

Permissive Information-Flow Analysis for Large Language Models

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

Minerva: A Programmable Memory Test Benchmark for Language Models

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

EcoAct: Economic Agent Determines When to Register What Action

On Efficient Distillation from LLMs to SLMs

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspective

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models

Permissive Information-Flow Analysis for Large Language Models

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Permissive Information-Flow Analysis for Large Language Models

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

Minerva: A Programmable Memory Test Benchmark for Language Models

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

EcoAct: Economic Agent Determines When to Register What Action

On Efficient Distillation from LLMs to SLMs

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Perspective

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models