Christopher Pal
Christopher Pal has 4 papers in our library, in 2020–2026, most of them on Language models & pretraining, Summarization, Knowledge graphs & ontologies; often with Jonathan Pilault, Gaurav Sahu, Issam Laradji.
OpenAlex · ORCID · Wikidata · h-index 32 · 205 works · 8,453 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 330 times in our library · 10 more in our library without a page yet · ⭐ Paper Stars ranking: #4938
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 workDecision Sciences · 1 workInformation Systems · 1 workStatistics, Probability and Uncertainty · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksSummarization · 1 workKnowledge graphs & ontologies · 1 work
Works by year
2020s
Papers
- On Extractive and Abstractive Neural Document Summarization with Transformer Language Models (2020 · 261 citations)
Neural abstractive models struggle with documents several thousand words long. Recurrent seq2seq systems handle long-range dependencies poorly, and transformer language models (TLMs) cannot fit such long inputs in memory. The authors propose a two-stage hybrid. First, an extractive sentence pointer network selects… - Block-State Transformers (2023 · 20 citations)
Transformers handle language modeling well, but attention cost grows quadratically with input length, and they generalize poorly to long contexts. - LitLLMs, LLMs for Literature Review: Are we there yet? (2024 · 16 citations)
The paper asks whether current LLMs can help researchers draft the related-work section of a paper, starting from only an abstract or a short description of an idea. - Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval (2026 · 5 citations)
LLMs that turn natural-language questions into SPARQL for Wikidata often invent identifiers. Wikidata URIs such as Q- and P-ids carry no meaning, so the model has to recall them from parametric memory, and it frequently produces IDs that look plausible but are wrong or do not exist. The authors propose PGMR…
All works
- On Extractive and Abstractive Neural Document Summarization with Transformer Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.2020 · 261 citations
- Describing Videos by Exploiting Temporal Structure ↗arXiv (Cornell University) · no summary yetYao, Li et al.2015 · 193 citations
- Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetChinnadhurai Sankar et al.2019 · 174 citations
- Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning ↗arXiv:1905.12304 · no summary yetDayiheng Liu et al.2019 · 73 citations
- LitLLM: A Toolkit for Scientific Literature Review ↗arXiv:2402.01788 · no summary yetShubham Agarwal et al.2024 · 45 citations
- Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism ↗arXiv (Cornell University) · no summary yetYao Li et al.2015 · 43 citations
- DuoRAT: Towards Simpler Text-to-SQL Models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetTorsten Scholak et al.2021 · 24 citations
- Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYi Tay et al.2020 · 22 citations
- Interactive Machine Comprehension with Information Seeking Agents ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetXingdi Yuan et al.2020 · 21 citations
- Block-State TransformersarXiv:2306.09539Mahan Fathi, Jonathan Pilault, Orhan Firat, et al.2023 · 20 citations
- LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
- Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory RetrievalFindings of the Association for Computational LinguisticsAditya Sharma, Christopher Pal, Amal Zouaq2026 · 5 citations
- LLMs can learn self-restraint through iterative self-reflection ↗arXiv (Cornell University) · no summary yetAlexandre Piché et al.2024 · 4 citations
- BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning ↗arXiv (Cornell University) · no summary yetAhmed Masry et al.2025 · 3 citations
Co-authors here
- Jonathan Pilault ×2
- Gaurav Sahu
- Issam Laradji
- Krishnamurthy Dvijotham
- Laurent Charlin
- Orhan Firat
- Raymond Li
- Sandeep Subramanian
- Shubham Agarwal
Venues
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics ×3
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2020
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/christopher-pal/