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ORCIDJamie Callan
James P. Callan
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- affiliation: Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA
- affiliation (PhD): University of Massachusetts Amherst, MA, USA
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2020 – today
- 2024
[c218]Luís Borges
, Rohan Jha, Jamie Callan, Bruno Martins:
Generalizable Tip-of-the-Tongue Retrieval with LLM Re-ranking. SIGIR 2024: 2437-2441- [i38]Harshit Mehrotra, Jamie Callan, Zhen Fan:
Building Retrieval Systems for the ClueWeb22-B Corpus. CoRR abs/2402.04357 (2024) - [i37]João Coelho, Bruno Martins, João Magalhães, Jamie Callan, Chenyan Xiong:
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval. CoRR abs/2404.04163 (2024) - [i36]Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng:
SciCode: A Research Coding Benchmark Curated by Scientists. CoRR abs/2407.13168 (2024) - 2023
- [c217]Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Precise Zero-Shot Dense Retrieval without Relevance Labels. ACL (1) 2023: 1762-1777 - [c216]Zhen Fan, Luyu Gao, Rohan Jha, Jamie Callan:
COILcr: Efficient Semantic Matching in Contextualized Exact Match Retrieval. ECIR (1) 2023: 298-312 - [c215]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. EMNLP 2023: 7969-7992 - [c214]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c213]Luís Borges, Bruno Martins, Jamie Callan:
KALE: Using a K-Sparse Projector for Lexical Expansion. ICTIR 2023: 13-22 - [c212]Zhen Fan, Luyu Gao, Jamie Callan:
CSurF: Sparse Lexical Retrieval through Contextualized Surface Forms. ICTIR 2023: 65-75 - [c211]Gustavo Gonçalves, João Magalhães, Jamie Callan:
Conversational Search with Random Walks over Entity Graphs. ICTIR 2023: 77-85 - [c210]Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. SIGIR 2023: 3120-3124 - [i35]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - 2022
- [c209]Luyu Gao, Jamie Callan:
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval. ACL (1) 2022: 2843-2853 - [c208]Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP 2022: 2336-2349 - [c207]Luyu Gao, Jamie Callan:
Long Document Re-ranking with Modular Re-ranker. SIGIR 2022: 2371-2376 - [c206]Arnold Overwijk, Chenyan Xiong, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. SIGIR 2022: 3360-3362 - [i34]Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval. CoRR abs/2203.05765 (2022) - [i33]Luyu Gao, Jamie Callan:
Long Document Re-ranking with Modular Re-ranker. CoRR abs/2205.04275 (2022) - [i32]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. CoRR abs/2211.10435 (2022) - [i31]Arnold Overwijk, Chenyan Xiong, Xiao Liu, Cameron VandenBerg, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. CoRR abs/2211.15848 (2022) - [i30]Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR abs/2212.02027 (2022) - [i29]Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Precise Zero-Shot Dense Retrieval without Relevance Labels. CoRR abs/2212.10496 (2022) - 2021
- [c205]HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. CIKM 2021: 3592-3596 - [c204]Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan:
Complement Lexical Retrieval Model with Semantic Residual Embeddings. ECIR (1) 2021: 146-160 - [c203]Luís Borges, Bruno Martins, Jamie Callan:
Assessing the Benefits of Model Ensembles in Neural Re-ranking for Passage Retrieval. ECIR (2) 2021: 225-232 - [c202]Luyu Gao, Zhuyun Dai, Jamie Callan:
Rethink Training of BERT Rerankers in Multi-stage Retrieval Pipeline. ECIR (2) 2021: 280-286 - [c201]HongChien Yu, Zhuyun Dai, Jamie Callan:
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer. ECIR (2) 2021: 440-447 - [c200]Luyu Gao, Jamie Callan:
Condenser: a Pre-training Architecture for Dense Retrieval. EMNLP (1) 2021: 981-993 - [c199]Luyu Gao, Zhuyun Dai, Jamie Callan:
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. NAACL-HLT 2021: 3030-3042 - [c198]Luyu Gao, Yunyi Zhang, Jiawei Han, Jamie Callan:
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup. RepL4NLP@ACL-IJCNLP 2021: 316-321 - [c197]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
TREC CAsT 2021: The Conversational Assistance Track Overview. TREC 2021 - [c196]Nour Jedidi, Gustavo Gonçalves, Jamie Callan:
Query Rewriting with Expansion and Multi-Turn Entity Graphs for Answer Selection. TREC 2021 - [i28]HongChien Yu, Zhuyun Dai, Jamie Callan:
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer. CoRR abs/2101.07918 (2021) - [i27]Luís Borges, Bruno Martins, Jamie Callan:
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval. CoRR abs/2101.08705 (2021) - [i26]Luyu Gao, Zhuyun Dai, Jamie Callan:
Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline. CoRR abs/2101.08751 (2021) - [i25]Luyu Gao, Zhuyun Dai, Jamie Callan:
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. CoRR abs/2104.07186 (2021) - [i24]Luyu Gao, Jamie Callan:
Is Your Language Model Ready for Dense Representation Fine-tuning? CoRR abs/2104.08253 (2021) - [i23]Luyu Gao, Jamie Callan:
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval. CoRR abs/2108.05540 (2021) - [i22]HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. CoRR abs/2108.13454 (2021) - 2020
- [c195]Shuo Zhang, Krisztian Balog, Jamie Callan:
Generating Categories for Sets of Entities. CIKM 2020: 1833-1842 - [c194]Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. CIKM 2020: 2093-2096 - [c193]Ramith Padaki, Zhuyun Dai, Jamie Callan:
Rethinking Query Expansion for BERT Reranking. ECIR (2) 2020: 297-304 - [c192]Vaibhav Kumar, Jamie Callan:
Making Information Seeking Easier: An Improved Pipeline for Conversational Search. EMNLP (Findings) 2020: 3971-3980 - [c191]Luyu Gao, Zhuyun Dai, Jamie Callan:
Modularized Transfomer-based Ranking Framework. EMNLP (1) 2020: 4180-4190 - [c190]Luyu Gao, Zhuyun Dai, Jamie Callan:
Understanding BERT Rankers Under Distillation. ICTIR 2020: 149-152 - [c189]Zhuyun Dai, Jamie Callan:
Context-Aware Term Weighting For First Stage Passage Retrieval. SIGIR 2020: 1533-1536 - [c188]Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. SIGIR 2020: 1537-1540 - [c187]Joel M. Mackenzie, Zhuyun Dai, Luke Gallagher, Jamie Callan:
Efficiency Implications of Term Weighting for Passage Retrieval. SIGIR 2020: 1821-1824 - [c186]Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan:
CAsT-19: A Dataset for Conversational Information Seeking. SIGIR 2020: 1985-1988 - [c185]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
CAsT 2020: The Conversational Assistance Track Overview. TREC 2020 - [c184]Zhuyun Dai, Jamie Callan:
Context-Aware Document Term Weighting for Ad-Hoc Search. WWW 2020: 1897-1907 - [i21]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
TREC CAsT 2019: The Conversational Assistance Track Overview. CoRR abs/2003.13624 (2020) - [i20]Luyu Gao, Zhuyun Dai, Jamie Callan:
EARL: Speedup Transformer-based Rankers with Pre-computed Representation. CoRR abs/2004.13313 (2020) - [i19]Luyu Gao, Zhuyun Dai, Zhen Fan, Jamie Callan:
Complementing Lexical Retrieval with Semantic Residual Embedding. CoRR abs/2004.13969 (2020) - [i18]Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. CoRR abs/2005.11490 (2020) - [i17]Luyu Gao, Zhuyun Dai, Jamie Callan:
Understanding BERT Rankers Under Distillation. CoRR abs/2007.11088 (2020) - [i16]Vaibhav Kumar, Vikas Raunak, Jamie Callan:
Ranking Clarification Questions via Natural Language Inference. CoRR abs/2008.07688 (2020) - [i15]Shuo Zhang, Krisztian Balog, Jamie Callan:
Generating Categories for Sets of Entities. CoRR abs/2008.08428 (2020)
2010 – 2019
- 2019
- [c183]Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. SIGIR 2019: 985-988 - [c182]Zhuyun Dai, Jamie Callan:
An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track. TREC 2019 - [c181]Gustavo Gonçalves, João Magalhães, Jamie Callan:
Proximity-Based Entity Ranking. TREC 2019 - [c180]Vaibhav Kumar, Jamie Callan:
A Step towards Context Identification for Conversational Search. TREC 2019 - [c179]Flávio Martins, João Magalhães, Jamie Callan:
Modeling Temporal Evidence from External Collections. WSDM 2019: 159-167 - [c178]Zhuyun Dai, Zhen Fan, Hafeezul Rahman, Jamie Callan:
Local Matching Networks for Engineering Diagram Search. WWW 2019: 340-350 - [i14]Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. CoRR abs/1905.09217 (2019) - [i13]Zhuyun Dai, Jamie Callan:
Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval. CoRR abs/1910.10687 (2019) - 2018
- [c177]Zhuyun Dai, Jamie Callan:
Inverted List Caching for Topical Index Shards. ECIR 2018: 577-583 - [c176]Yubin Kim, Jamie Callan:
Measuring the Effectiveness of Selective Search Index Partitions without Supervision. ICTIR 2018: 91-98 - [c175]Flávio Martins, João Magalhães, Jamie Callan:
A Vertical PRF Architecture for Microblog Search. ICTIR 2018: 107-114 - [c174]Hafeezul Rahman Mohammad, Keyang Xu, Jamie Callan, J. Shane Culpepper:
Dynamic Shard Cutoff Prediction for Selective Search. SIGIR 2018: 85-94 - [c173]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. SIGIR 2018: 575-584 - [c172]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. SIGIR 2018: 961-964 - [c171]Gustavo Gonçalves, João Magalhães, Chenyan Xiong, Jamie Callan:
Improving Ad Hoc Retrieval With Bag Of Entities. TREC 2018 - [c170]Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. WSDM 2018: 126-134 - [i12]Keyang Xu, Kyle Yingkai Gao, Jamie Callan:
A Structure-Oriented Unsupervised Crawling Strategy for Social Media Sites. CoRR abs/1804.02734 (2018) - [i11]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. CoRR abs/1805.01334 (2018) - [i10]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. CoRR abs/1809.10522 (2018) - [i9]Cameron VandenBerg, Jamie Callan:
Sifaka: Text Mining Above a Search API. CoRR abs/1810.02907 (2018) - [i8]Flávio Martins, João Magalhães, Jamie Callan:
A Vertical PRF Architecture for Microblog Search. CoRR abs/1810.03519 (2018) - [i7]Flávio Martins, João Magalhães, Jamie Callan:
Modeling Temporal Evidence from External Collections. CoRR abs/1812.06082 (2018) - 2017
- [j29]Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat:
Efficient distributed selective search. Inf. Retr. J. 20(3): 221-252 (2017) - [j28]James Allan, Nicholas J. Belkin, Paul N. Bennett, Jamie Callan, Charles L. A. Clarke, Fernando Diaz, Susan T. Dumais, Nicola Ferro, Donna Harman, Djoerd Hiemstra, Ian Ruthven, Tetsuya Sakai, Mark D. Smucker, Justin Zobel:
Overview of Special Issue. SIGIR Forum 51(2): 1-25 (2017) - [j27]James P. Callan, Zhihong Lu, W. Bruce Croft:
Searching Distributed Collections With Inference Networks. SIGIR Forum 51(2): 160-167 (2017) - [c169]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Eduard H. Hovy:
JointSem: Combining Query Entity Linking and Entity based Document Ranking. CIKM 2017: 2391-2394 - [c168]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
An Evaluation of the Kernel Based Neural Ranking Model in NTCIR-13 WWW. NTCIR 2017 - [c167]Hongyu Li, Chenyan Xiong, Jamie Callan:
Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs. KG4IR@SIGIR 2017: 43-48 - [c166]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. SIGIR 2017: 55-64 - [c165]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Word-Entity Duet Representations for Document Ranking. SIGIR 2017: 763-772 - [c164]Zhuyun Dai, Yubin Kim, Jamie Callan:
Learning To Rank Resources. SIGIR 2017: 837-840 - [c163]Keyang Xu, Zhengzhong Liu, Jamie Callan:
De-duping URLs with Sequence-to-Sequence Neural Networks. SIGIR 2017: 1157-1160 - [c162]Faegheh Hasibi, Fedor Nikolaev, Chenyan Xiong, Krisztian Balog, Svein Erik Bratsberg, Alexander Kotov, Jamie Callan:
DBpedia-Entity v2: A Test Collection for Entity Search. SIGIR 2017: 1265-1268 - [c161]Chenyan Xiong, Russell Power, Jamie Callan:
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding. WWW 2017: 1271-1279 - [i6]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. CoRR abs/1706.06613 (2017) - [i5]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Word-Entity Duet Representations for Document Ranking. CoRR abs/1706.06636 (2017) - [i4]Kyle Yingkai Gao, Jamie Callan:
Scientific Table Search Using Keyword Queries. CoRR abs/1707.03423 (2017) - 2016
- [c160]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
Query-Biased Partitioning for Selective Search. CIKM 2016: 1119-1128 - [c159]Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat:
Does Selective Search Benefit from WAND Optimization? ECIR 2016: 145-158 - [c158]Jimmy Lin, Matt Crane, Andrew Trotman, Jamie Callan, Ishan Chattopadhyaya, John Foley, Grant Ingersoll, Craig MacDonald, Sebastiano Vigna:
Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge. ECIR 2016: 408-420 - [c157]Flávio Martins, João Magalhães, Jamie Callan:
Jitter Search: A News-Based Real-Time Twitter Search Interface. ECIR 2016: 841-844 - [c156]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Bag-of-Entities Representation for Ranking. ICTIR 2016: 181-184 - [c155]Jing Chen, Chenyan Xiong, Jamie Callan:
An Empirical Study of Learning to Rank for Entity Search. SIGIR 2016: 737-740 - [c154]Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat:
Load-Balancing in Distributed Selective Search. SIGIR 2016: 905-908 - [c153]Flávio Martins, João Magalhães, Jamie Callan:
Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank. WSDM 2016: 667-676 - [i3]Flávio Martins, João Magalhães, Jamie Callan:
Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank. CoRR abs/1602.03101 (2016) - 2015
- [j26]Anagha Kulkarni, Jamie Callan:
Selective Search: Efficient and Effective Search of Large Textual Collections. ACM Trans. Inf. Syst. 33(4): 17:1-17:33 (2015) - [j25]Yazhe Wang, Jamie Callan, Baihua Zheng:
Should We Use the Sample? Analyzing Datasets Sampled from Twitter's Stream API. ACM Trans. Web 9(3): 13:1-13:23 (2015) - [c152]Chenyan Xiong, Jamie Callan:
EsdRank: Connecting Query and Documents through External Semi-Structured Data. CIKM 2015: 951-960 - [c151]Chenyan Xiong, Jamie Callan:
Query Expansion with Freebase. ICTIR 2015: 111-120 - [c150]Reyyan Yeniterzi, Jamie Callan:
Moving from Static to Dynamic Modeling of Expertise for Question Routing in CQA Sites. ICWSM 2015: 702-705 - [c149]Guoqing Zheng, Jamie Callan:
Learning to Reweight Terms with Distributed Representations. SIGIR 2015: 575-584 - [c148]Zhuyun Dai, Yubin Kim, Jamie Callan:
How Random Decisions Affect Selective Distributed Search. SIGIR 2015: 771-774 - 2014
- [c147]Bhavana Bharat Dalvi, Chenyan Xiong, Jamie Callan:
A language modeling approach to entity recognition and disambiguation for search queries. ERD@SIGIR 2014: 45-54 - [c146]Reyyan Yeniterzi, Jamie Callan:
Constructing effective and efficient topic-specific authority networks for expert finding in social media. SoMeRA@SIGIR 2014: 45-50 - [c145]Reyyan Yeniterzi, Jamie Callan:
Analyzing bias in CQA-based expert finding test sets. SIGIR 2014: 967-970 - [c144]Jun Araki, Jamie Callan:
An annotation similarity model in passage ranking for historical fact validation. SIGIR 2014: 1111-1114 - [c143]Shriphani Palakodety, Jamie Callan:
Query Transformations for Result Merging. TREC 2014 - [c142]Di Xu, Jamie Callan:
Modelling Psychological Needs for User-dependent Contextual Suggestion. TREC 2014 - [c141]Di Xu, Jamie Callan:
Towards a Simple and Efficient Web Search Framework. TREC 2014 - 2013
- [c140]Bhavana Dalvi, William W. Cohen, Jamie Callan:
Classifying entities into an incomplete ontology. AKBC@CIKM 2013: 31-36 - [c139]Jamie Callan:
Selective Search of Large Text Collectio