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Nick Craswell

Identifiers

  • name variant Nick Craswell 0.60 · backfill

Papers (53)

  1. Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents cs.CL · 2026 · author #8
  2. Overview of the TREC 2021 deep learning track cs.IR · 2025 · author #1
  3. Overview of the TREC 2022 deep learning track cs.IR · 2025 · author #1
  4. Overview of the TREC 2023 deep learning track cs.IR · 2025 · author #1
  5. Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges cs.CL · 2025 · author #5
  6. The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models cs.IR · 2025 · author #5
  7. Judging the Judges: A Collection of LLM-Generated Relevance Judgements cs.IR · 2025 · author #4
  8. JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment cs.IR · 2024 · author #3
  9. Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework cs.IR · 2024 · author #5
  10. A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look cs.IR · 2024 · author #5
  11. SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval cs.IR · 2024 · author #4
  12. Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024 cs.IR · 2024 · author #4
  13. LLMJudge: LLMs for Relevance Judgments cs.IR · 2024 · author #3
  14. Ragnar\"ok: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track cs.IR · 2024 · author #7
  15. UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor cs.IR · 2024 · author #4
  16. Synthetic Test Collections for Retrieval Evaluation cs.IR · 2024 · author #2
  17. MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels cs.IR · 2024 · author #11
  18. Towards Group-aware Search Success cs.IR · 2024 · author #3
  19. Large language models can accurately predict searcher preferences cs.IR · 2023 · author #3
  20. Patterns of gender-specializing query reformulation cs.IR · 2023 · author #3
  21. Zero-shot Clarifying Question Generation for Conversational Search cs.IR · 2023 · author #4
  22. Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems cs.IR · 2022 · author #2
  23. Human Preferences as Dueling Bandits cs.IR · 2022 · author #4
  24. Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation? cs.IR · 2022 · author #4
  25. Neural Approaches to Conversational Information Retrieval cs.IR · 2022 · author #4
  26. Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking cs.IR · 2021 · author #4
  27. MS MARCO: Benchmarking Ranking Models in the Large-Data Regime cs.IR · 2021 · author #1
  28. TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime cs.IR · 2021 · author #1
  29. Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence cs.IR · 2021 · author #4
  30. Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard cs.IR · 2021 · author #3
  31. Overview of the TREC 2020 deep learning track cs.IR · 2021 · author #1
  32. Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track cs.IR · 2020 · author #4
  33. Conformer-Kernel with Query Term Independence for Document Retrieval cs.IR · 2020 · author #4
  34. Scalable Methods for Calculating Term Co-Occurrence Frequencies cs.IR · 2020 · author #4
  35. MIMICS: A Large-Scale Data Collection for Search Clarification cs.IR · 2020 · author #6
  36. ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search cs.IR · 2020 · author #1
  37. Analyzing and Learning from User Interactions for Search Clarification cs.IR · 2020 · author #7
  38. Local Self-Attention over Long Text for Efficient Document Retrieval cs.IR · 2020 · author #4
  39. On the Reliability of Test Collections for Evaluating Systems of Different Types cs.IR · 2020 · author #2
  40. Overview of the TREC 2019 deep learning track cs.IR · 2020 · author #1
  41. Macaw: An Extensible Conversational Information Seeking Platform cs.IR · 2019 · author #2
  42. Duet at TREC 2019 Deep Learning Track cs.IR · 2019 · author #2
  43. Generic Intent Representation in Web Search cs.IR · 2019 · author #6
  44. Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks cs.IR · 2019 · author #4
  45. An Axiomatic Approach to Regularizing Neural Ranking Models cs.IR · 2019 · author #4
  46. An Updated Duet Model for Passage Re-ranking cs.IR · 2019 · author #2
  47. Neural Ranking Models with Multiple Document Fields cs.IR · 2017 · author #4
  48. Neural Models for Information Retrieval cs.IR · 2017 · author #2
  49. Luandri: a Clean Lua Interface to the Indri Search Engine cs.IR · 2017 · author #3
  50. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset cs.CL · 2016 · author #3
  51. Learning to Match Using Local and Distributed Representations of Text for Web Search cs.IR · 2016 · author #3
  52. Query Expansion with Locally-Trained Word Embeddings cs.IR · 2016 · author #3
  53. A Dual Embedding Space Model for Document Ranking cs.IR · 2016 · author #3

Mentions

  • 2507.10865 #1 · arxiv_oai · confidence 0.70 Nick Craswell
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  • 2105.04021 #1 · arxiv_oai · confidence 0.70 Nick Craswell
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  • 2011.07368 #4 · arxiv_oai · confidence 0.70 Nick Craswell
  • 2006.05324 #1 · arxiv_oai · confidence 0.70 Nick Craswell
  • 2007.10434 #4 · arxiv_oai · confidence 0.70 Nick Craswell
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  • 2005.04908 #4 · arxiv_oai · confidence 0.70 Nick Craswell
  • 2004.13486 #2 · arxiv_oai · confidence 0.70 Nick Craswell
  • 2003.07820 #1 · arxiv_oai · confidence 0.70 Nick Craswell
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  • 1611.09268 #3 · arxiv_oai · confidence 0.70 Nick Craswell
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  • 2606.25361 #8 · arxiv_oai · confidence 0.70 Nick Craswell

Frequent Coauthors