Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio

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Challenge:	a popular audio clip elicits dramatically different responses from different listeners . a "laurel/yanny" phenomenon is a common phenomenon in spoken language . polyperceivability is surprisingly prevalent in natural language, a new study finds .
Approach:	They propose a metric that correlates with polyperceivability of audio clips and validate results with humans . they find new "laurel/yanny"-type examples that are surprisingly prevalent in natural language .
Outcome:	The proposed metric correlates with polyperceivability of audio clips and validates it with human experiments.

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Challenge:	EMNLP 2025 tutorials will cover seven cutting-edge topics . the process of soliciting, reviewing and selecting tutorials was a collaborative effort .
Approach:	EMNLP 2025 will feature tutorials on seven cutting-edge topics . the process of soliciting, reviewing and selecting tutorials was a collaborative effort .
Outcome:	EMNLP 2025 will feature tutorials on seven cutting-edge topics . the process of soliciting, reviewing and selecting tutorials was a collaborative effort .

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Challenge:	EMNLP tutorials session in 2020 will feature cutting-edge and introductory topics . review committees evaluated tutorial proposals on clarity, preparedness, novelty, timeliness, likely audience, open access to the teaching materials and compatibility of preferred venues.
Approach:	EMNLP tutorials session in 2020 will feature cutting-edge and introductory topics . review committees evaluated tutorial proposals on clarity, preparedness, novelty, timeliness and likely audience .
Outcome:	EMNLP tutorials session in 2020 includes courses on introductory and cutting-edge topics . the review committee evaluated 43 tutorial submissions and criteria including clarity, preparedness, novelty, timeliness, likely audience, open access to the teaching materials and compatibility of preferred venues.

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Challenge:	Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing are now available online.
Approach:	EMNLP 2025 conference on empirical methods in natural language processing held in Suzhou, china, on November 4-9, 2025. 77 papers accepted for inclusion in proceedings, resulting in 38% acceptance rate.
Outcome:	Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing are published . the conference accepted 77 papers, with a 38% acceptance rate .

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Challenge:	91 submissions were received, 10 of which were either invalid or withdrawn .
Approach:	91 submissions were received for the system demonstrations session . 10 were either invalid or withdrawn by the authors .
Outcome:	The system demonstrations session was held at the 2020 conference on empirical methods in natural language processing . 91 submissions were accepted, 10 of which were either invalid or withdrawn .

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Challenge:	EMNLP 2024 will feature tutorials on six exciting topics . the process of selecting tutorials was a collaborative effort .
Approach:	EMNLP 2024 will feature tutorials on six exciting topics . the process of calling for, submitting, reviewing tutorials was a collaborative effort .
Outcome:	the tutorials will cover topics such as natural language explanations, offensive speech, human-centered evaluation, AI for science, agents, and enhancing capabilities of LLMs.

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Challenge:	77 submissions were received for the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions received were either invalid or withdrawn by the authors.
Approach:	The volume contains papers from the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 77 submissions were either invalid or withdrawn by the authors.
Outcome:	The system demonstrations session included papers from the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions were either invalid or withdrawn by the authors.

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Challenge:	Proceedings of the system demonstrations session were presented at the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) EMNMP-IjCNLP 2019 has a Best Demo Award for the first time .
Approach:	Proceedings of the system demonstrations session are available online . they were presented at the conference on empirical methods in natural language processing .
Outcome:	The system demonstrations session received 110 submissions, 22 of which were either invalid or withdrawn by the authors.

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Challenge:	iii: 39 outstanding papers accepted for presentation at NAACL HLT 2018 in New Orleans, Louisiana . iv: 20 outstanding papers will be displayed during the conference .
Approach:	iii: 39 outstanding papers accepted for presentation at NAACL HLT 2018 in new orleans, la . iv: demonstrations session is an opportunity for researchers and developers to present their systems .
Outcome:	the demonstrations session at NAACL HLT 2018 in New Orleans, Louisiana, USA, received 39 outstanding papers .

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Challenge:	EMNLP tutorials are lecture-based presentations that are presented at conferences around the world.
Approach:	EMNLP 2021 will feature tutorials on a range of topics, including crowdsourcing and data collection . the final selection process was unified, with a total of 35 submissions .
Outcome:	EMNLP 2021 will host six tutorials on a range of topics . the tutorials were selected by a unified review process .

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Challenge:	EMNLP 2023 tutorials session is organized to give conference attendees a comprehensive introduction by expert researchers to a variety of topics of importance drawn from our rapidly growing and changing research field.
Approach:	EMNLP 2023 is a conference to provide a comprehensive introduction by experts in the field . the call, submission, reviewing and selection of tutorials were coordinated jointly for multiple conferences .
Outcome:	EMNLP 2023 is the first conference to host a tutorials session . the conference will feature a variety of topics of importance .