Fetching the paper…
Reading the bibliography…
While language model (LM)-powered chatbots and generative search engines excel at answering concrete queries, discovering information in the terrain of unknown unknowns remains challenging for users.
Theories and models in information retrieval
Stephen E. Robertson. 1977 · 1977
Earlier work this paper cites.
Ask for information retrieval: Part i. background and theory
Nicholas J Belkin, Robert N Oddy, and Helen M Brooks. 1982 · 1982
Earlier work this paper cites.
The design of browsing and berrypicking techniques for the online search interface
Marcia J. Bates. 1989 · 1989
Earlier work this paper cites.
Inside the search process: Information seeking from the user’s perspective
Carol C Kuhlthau. 1991 · 1991
Earlier work this paper cites.
Task complexity affects information seeking and use
Katriina Byström and Kalervo Järvelin. 1995 · 1995
Earlier work this paper cites.
The construction of shared knowledge in collaborative problem solving
Jeremy Roschelle and Stephanie D Teasley. 1995 · 1995
Earlier work this paper cites.
Entrepreneurial discovery and the competitive market process: An austrian approach
Israel M Kirzner. 1997 · 1997
Earlier work this paper cites.
What learners want to know: The role of achievement goals in shaping information seeking, learning, and interest
Ruth Butler. 2000 · 2000
Earlier work this paper cites.
The structure of discourse in collaborative learning
Clark A Chinn, Angela M O’donnell, and Theresa S Jinks. 2000 · 2000
Earlier work this paper cites.
Serendipity and information seeking: an empirical study
Allen Foster and Nigel Ford. 2003 · 2003
Earlier work this paper cites.
Issues in multiparty dialogues
David Traum. 2003 · 2003
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2021 · 2005
Earlier work this paper cites.
The roles of scripts in promoting collaborative discourse in learning by design
Janet L Kolodner. 2007 · 2007
Earlier work this paper cites.
Collaborative discourse, argumentation, and learning: Preface and literature review
E Michael Nussbaum. 2008 · 2008
Earlier work this paper cites.
The craft of research
Wayne C Booth, Gregory G Colomb, and Joseph M Williams. 2009 · 2009
Earlier work this paper cites.
Powers of 10: Modeling complex information-seeking systems at multiple scales
Peter Pirolli. 2009 · 2009
Earlier work this paper cites.
Arguing to learn in science: The role of collaborative, critical discourse
Jonathan Osborne. 2010 · 2010
Earlier work this paper cites.
Towards a definition of serendipity in information behaviour
Naresh Kumar Agarwal. 2015 · 2015
Earlier work this paper cites.
Reading Wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Earlier work this paper cites.
HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D. Manning. 2018 · 2018
Cited alongside, same era.
Latent retrieval for weakly supervised open domain question answering
Kenton Lee, Ming-Wei Chang, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
User intent prediction in information-seeking conversations
Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, and Minghui Qiu. 2019 · 2019
Cited alongside, same era.
CoQA: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
Cited alongside, same era.
TyDi QA: A benchmark for information-seeking question answering in typologically diverse languages
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki. 2020 · 2020
Cited alongside, same era.
Camel: Communicative agents for "mind" exploration of large language model society
Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023 · 2023
Later among the works it cites.
Encouraging divergent thinking in large language models through multi-agent debate
Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, and Shuming Shi. 2023 · 2023
Later among the works it cites.
Evaluating verifiability in generative search engines
Nelson Liu, Tianyi Zhang, and Percy Liang. 2023a · 2023
Later among the works it cites.
Debate helps supervise unreliable experts
Julian Michael, Salsabila Mahdi, David Rein, Jackson Petty, Julien Dirani, Vishakh Padmakumar, and Samuel R. Bowman. 2023 · 2023
Later among the works it cites.
Babyagi
Yohei Nakajima. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Making information seeking easier: An improved pipeline for conversational search
Vaibhav Kumar and Jamie Callan. 2020 · 2020
Cited alongside, same era.
Interactive machine comprehension with information seeking agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, and Adam Trischler. 2020 · 2020
Cited alongside, same era.
Open question answering over tables and text
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, and William W. Cohen. 2021 · 2021
Cited alongside, same era.
A dataset of information-seeking questions and answers anchored in research papers
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, and Matt Gardner. 2021 · 2021
Cited alongside, same era.
Open-Domain question-Answering for COVID-19 and other emergent domains
Sharon Levy, Kevin Mo, Wenhan Xiong, and William Yang Wang. 2021 · 2021
Cited alongside, same era.
Constitutional ai: Harmlessness from ai feedback
Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, and Jackson Kernion et al. 2022 · 2022
Cited alongside, same era.
HybriDialogue: An information-seeking dialogue dataset grounded on tabular and textual data
Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, and William Yang Wang. 2022 · 2022
Cited alongside, same era.
Gpt-4 technical report
OpenAI. 2023 · 2023
Later among the works it cites.
Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2023 · 2023
Later among the works it cites.
Beyond summarization: Designing ai support for real-world expository writing tasks
Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, and David Sontag. 2023 · 2023
Later among the works it cites.
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, and Chi Wang. 2023 · 2023
Later among the works it cites.
A critical evaluation of evaluations for long-form question answering
Fangyuan Xu, Yixiao Song, Mohit Iyyer, and Eunsol Choi. 2023 · 2023
Later among the works it cites.
Effective seed-guided topic discovery by integrating multiple types of contexts
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, and Jiawei Han. 2023 · 2023
Later among the works it cites.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team. 2024 · 2024
Closest in time.
Prometheus 2: An open source language model specialized in evaluating other language models
Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, and Minjoon Seo. 2024 · 2024
Closest in time.
Raptor: Recursive abstractive processing for tree-organized retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, and Christopher D. Manning. 2024 · 2024
Closest in time.
Assisting in writing wikipedia-like articles from scratch with large language models
Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, and Monica S. Lam. 2024 · 2024
Closest in time.
Generative echo chamber? effect of llm-powered search systems on diverse information seeking
Nikhil Sharma, Q Vera Liao, and Ziang Xiao. 2024 · 2024
Closest in time.
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, and Heng Ji. 2024 · 2024
Closest in time.
Kiwi: A dataset of knowledge-intensive writing instructions for answering research questions
Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, and David Wadden. 2024 · 2024
Closest in time.
Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, and Jiawei Han. 2024 · 2024
Closest in time.