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# Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual 2026 — accepted papers

Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual 2026 is the 2026 edition of the Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual, held in San Diego, California, USA, July 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 17 papers of it; our library holds 8 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 San Diego, California, [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · 🗓 July 2026

[**17** papers in the proceedings](#all) · [**8** works in our library](https://md.research.elamur.ai/free/en/venues/customnlp4u/2026/#works) · [**9** citations of these works](https://md.research.elamur.ai/free/en/venues/customnlp4u/2026/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[BAID: A Benchmark for Bias Assessment of AI Detectors ↗](https://aclanthology.org/2026.customnlp4u-1.1/)**Priyam Basu, Yunfeng Zhang, Vipul Raheja*1 citation*
2. **[Efficiency vs. Verifiability in Evidence-Aware RAG: Does Prompt Compression Preserve Citation Grounding? ↗](https://aclanthology.org/2026.customnlp4u-1.19/)**Aiyu Li, Qian Peng, Bin Chen*1 citation*
3. **[When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges ↗](https://aclanthology.org/2026.customnlp4u-1.21/)**Parth Darshan, Abhishek Divekar*1 citation*

## All accepted papers (17)

The most cited first; 8 with our summary link to their page here, the others to the original.

1. **[BAID: A Benchmark for Bias Assessment of AI Detectors ↗](https://aclanthology.org/2026.customnlp4u-1.1/)**Priyam Basu, Yunfeng Zhang, Vipul Raheja*1 citation*
2. **[Efficiency vs. Verifiability in Evidence-Aware RAG: Does Prompt Compression Preserve Citation Grounding? ↗](https://aclanthology.org/2026.customnlp4u-1.19/)**Aiyu Li, Qian Peng, Bin Chen*1 citation*
3. **[When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges ↗](https://aclanthology.org/2026.customnlp4u-1.21/)**Parth Darshan, Abhishek Divekar*1 citation*
4. **[Asking the Right Questions: Can expert-prompted LLMs reformulate legal queries from non-experts? ↗](https://aclanthology.org/2026.customnlp4u-1.15/)**Katherine Atwell, Morgan A. Gray, Jaromir Savelka et al.
5. **[Building Multi-turn Intent Classification with LLM-based Labeling](https://md.research.elamur.ai/free/en/papers/xie-2026-building-multi-turn-intent-classification/)**Biancen Xie, Kaiqi Bian, Jai Ranjan Singh Gusain et al.*our summary*
6. **[Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings](https://md.research.elamur.ai/free/en/papers/meisenbacher-2026-building-custom-taxonomy-ai-skills/)**Stephen Meisenbacher, Peter Norlander*our summary*
7. **[Cross-Tokenizer LLM Distillation through a Byte-Level Interface](https://md.research.elamur.ai/free/en/papers/singh-2026-cross-tokenizer-llm-distillation-through/)**Avyav Kumar Singh, Yen-Chen Wu, Alexandru Cioba et al.*our summary*
8. **[Customizing ASR for Language Documentation and Resource Prioritization ↗](https://aclanthology.org/2026.customnlp4u-1.13/)**Alexandra Fort, Shobhana Lakshmi Chelliah
9. **[Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract Classification](https://md.research.elamur.ai/free/en/papers/singh-2026-evaluating-customized-vs-generalist-transformer/)**Amrita Singh, H. Suhan Karaca, Aditya Joshi et al.*our summary*
10. **[Fine-grained Readability Controlled Summarization of Scientific Documents via Control Vectors ↗](https://aclanthology.org/2026.customnlp4u-1.10/)**Isabel Cachola, Kuleen Sasse, Mark Dredze
11. **[From Understanding to Engagement: Personalized pharmacy Video Clips via Vision Language Models (VLMs)](https://md.research.elamur.ai/free/en/papers/mishra-2026-understanding-engagement-personalized-pharmacy-video/)**Suyash Mishra, Qiang Li, Anubhav Girdhar et al.*our summary*
12. **[Improving Medical Hallucination Detection with System Combination and Rule-based Customization ↗](https://aclanthology.org/2026.customnlp4u-1.14/)**Jonathan Lasko, Damianos Karakos, Francis Keith
13. **[Personalizing News Headlines with Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/)**Jiajing Wan, Samia Touileb, Lubos Steskal et al.*our summary*
14. **[Small Language Models for the Democratization of Financial Literacy: Challenges and Opportunities ↗](https://aclanthology.org/2026.customnlp4u-1.2/)**Tagore Rao Kosireddy, Jeffrey David Wall, Evan Lucas
15. **[Unintended Effects of Geographic Conditioning in Large Language Models ↗](https://aclanthology.org/2026.customnlp4u-1.18/)**Naz Col, David M. Chan
16. **[Using Topological Data Analysis to Characterize the Layers of Language Models Before and After Word Substitution Attacks](https://md.research.elamur.ai/free/en/papers/tang-2026-topological-data-analysis-characterize-layers/)**Adam Tang, Catherine Liu, Kimberly Lopez et al.*our summary*
17. **[When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies](https://md.research.elamur.ai/free/en/papers/yang-2026-when-valid-signals-fail-regime/)**Zhengzhe Yang*our summary*

## Papers with our summary in our library (8)

The most cited first (OpenAlex citations plus our library's).

1. **[Cross-Tokenizer LLM Distillation through a Byte-Level Interface](https://md.research.elamur.ai/free/en/papers/singh-2026-cross-tokenizer-llm-distillation-through/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Avyav Kumar Singh, Yen-Chen Wu, Alexandru Cioba, et al.*2026 · 5 citations*
2. **[Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract Classification](https://md.research.elamur.ai/free/en/papers/singh-2026-evaluating-customized-vs-generalist-transformer/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Amrita Singh, H. Suhan Karaca, Aditya Joshi, et al.*2026 · 2 citations*
3. **[From Understanding to Engagement: Personalized pharmacy Video Clips via Vision Language Models (VLMs)](https://md.research.elamur.ai/free/en/papers/mishra-2026-understanding-engagement-personalized-pharmacy-video/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Suyash Mishra, Qiang Li, Anubhav Girdhar, et al.*2026 · 1 citation*
4. **[Personalizing News Headlines with Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Jiajing Wan, Samia Touileb, Lubos Steskal, et al.*2026 · 1 citation*
5. **[Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings](https://md.research.elamur.ai/free/en/papers/meisenbacher-2026-building-custom-taxonomy-ai-skills/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Stephen Meisenbacher, Peter Norlander*2026*
6. **[Using Topological Data Analysis to Characterize the Layers of Language Models Before and After Word Substitution Attacks](https://md.research.elamur.ai/free/en/papers/tang-2026-topological-data-analysis-characterize-layers/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Adam Tang, Catherine Liu, Kimberly Lopez, et al.*2026*
7. **[Building Multi-turn Intent Classification with LLM-based Labeling](https://md.research.elamur.ai/free/en/papers/xie-2026-building-multi-turn-intent-classification/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Biancen Xie, Kaiqi Bian, Jai Ranjan Singh Gusain, et al.*2026*
8. **[When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies](https://md.research.elamur.ai/free/en/papers/yang-2026-when-valid-signals-fail-regime/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Zhengzhe Yang*2026*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (4)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Fields

[Computer Science (7)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (6)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Business, Management and Accounting (2)](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Economics, Econometrics and Finance (1)](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Pharmacology, Toxicology and Pharmaceutics (1)](https://md.research.elamur.ai/free/en/shelves/pharmacology-toxicology-and-pharmaceutics/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Aditya Joshi**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/aditya-joshi/) · [🧑‍🔬**Amrita Singh**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/amrita-singh/) · [🧑‍🔬**Lilja Øvrelid**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/lilja-ovrelid/) · [🧑‍🔬**Qiang Li**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/qiang-li/) · [🧑‍🔬**Samia Touileb**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/samia-touileb/) · [🧑‍🔬**Srikanth Patil**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/srikanth-patil/) · [🧑‍🔬**Suyash Mishra**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/suyash-mishra/) · [🧑‍🔬**Adaku Uchendu**1 work here](https://md.research.elamur.ai/free/en/authors/adaku-uchendu/) · [🧑‍🔬**Alexia E. Schulz**1 work here](https://md.research.elamur.ai/free/en/authors/alexia-e-schulz/) · [🧑‍🔬**Catherine Liu**1 work here](https://md.research.elamur.ai/free/en/authors/catherine-liu/) · [🧑‍🔬**Kimberly Lopez**1 work here](https://md.research.elamur.ai/free/en/authors/kimberly-lopez/) · [🧑‍🔬**Leif Zinn-Brooks**1 work here](https://md.research.elamur.ai/free/en/authors/leif-zinn-brooks/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Harvey Mudd College** Claremont · United States 1 work here](https://md.research.elamur.ai/free/en/universities/harvey-mudd-college/) · [🎓**University of Oslo** Oslo · Norway 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-oslo/) · [🎓**Loyola University Chicago** Chicago · United States 1 work here](https://md.research.elamur.ai/free/en/universities/loyola-university-chicago/) · [🎓**UNSW Sydney** Sydney · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/unsw-sydney/) · [🔬**MIT Lincoln Laboratory** Lexington · United States 1 work here](https://md.research.elamur.ai/free/en/labs/mit-lincoln-laboratory/) · [🎓**University of Bergen** Bergen · Norway 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-bergen/) · [🎓**Technical University of Munich** Munich · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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