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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.

4 papers in our library · 2020–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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.
  3. 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.
  4. 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

14 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Describing Videos by Exploiting Temporal Structure ↗arXiv (Cornell University) · no summary yetYao, Li et al.2015 · 193 citations
  2. 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
  3. Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning ↗arXiv:1905.12304 · no summary yetDayiheng Liu et al.2019 · 73 citations
  4. LitLLM: A Toolkit for Scientific Literature Review ↗arXiv:2402.01788 · no summary yetShubham Agarwal et al.2024 · 45 citations
  5. Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism ↗arXiv (Cornell University) · no summary yetYao Li et al.2015 · 43 citations
  6. 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
  7. 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
  8. 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
  9. Block-State TransformersarXiv:2306.09539Mahan Fathi, Jonathan Pilault, Orhan Firat, et al.2023 · 20 citations
  10. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
  11. LLMs can learn self-restraint through iterative self-reflection ↗arXiv (Cornell University) · no summary yetAlexandre Piché et al.2024 · 4 citations
  12. BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning ↗arXiv (Cornell University) · no summary yetAhmed Masry et al.2025 · 3 citations

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 330 times (of the 149,439 papers whose bibliographies we read); 45 citing papers with a page here →.

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