[Theory] TODAY: REMINDER: 10/24 TTIC Colloquium: Yoav Artzi, Cornell University
Mary Marre
mmarre at ttic.edu
Mon Oct 24 10:30:00 CDT 2022
*When:* Monday, October 24th at* 11:30 am CT*
*Where: *Talk will be given *live, in-person* at
TTIC, 6045 S. Kenwood Avenue
5th Floor, Room 530
*Virtually:* via Panopto (*livestream*
<https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8427a25d-71ee-4e3f-8d10-af32012a1053>
)
*Who: * Yoav Artzi, Cornell University
------------------------------
*Title: *Interaction and Natural Language Learning
*Abstract: *This talk focuses on the challenges and opportunities that
interactions provide for natural language learning. It is divided into two
parts. First, I will show how collaborative interactions enable continual
learning, where agentive systems improve over time through interaction. I
will describe an interactive game-like environment that instantiates
collaborative interactions with natural language coordination, and show how
it creates a contextual bandit learning scenario for language production
(i.e., generation). I will also briefly show how this formulation
generalizes to language comprehension. In the second part, I will discuss
language-conditioned reinforcement learning (RL). Although the pairing of
natural language and RL is promising for both research and application, it
is a research avenue that remains challenging to pursue. I will describe a
new approach for language-conditioned RL benchmarking that strikes a
balance between research accessibility and retaining the complexities and
nuances of natural language.
*Bio: **Yoav** Artzi* is an Associate Professor in the Department of
Computer Science and Cornell Tech at Cornell University. His research
focuses on developing learning methods for natural language understanding
and generation in automated interactive systems. He received an NSF CAREER
award, and his work was acknowledged by awards and honorable mentions at
ACL, EMNLP, NAACL, and IROS. Yoav holds a B.Sc. from Tel Aviv University
and a Ph.D. from the University of Washington.
*Host: Karen Livescu <klivescu at ttic.edu>*
***********************************************************************************
For more information on the colloquium series or to subscribe to the
mailing list, please see http://www.ttic.edu/colloquium.php
Mary C. Marre
Faculty Administrative Support
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Chicago, IL 60637*
*mmarre at ttic.edu <mmarre at ttic.edu>*
On Sun, Oct 23, 2022 at 2:36 PM Mary Marre <mmarre at ttic.edu> wrote:
> *When:* Monday, October 24th at* 11:30 am CT*
>
>
> *Where: *Talk will be given *live, in-person* at
>
> TTIC, 6045 S. Kenwood Avenue
>
> 5th Floor, Room 530
>
>
> *Virtually:* via Panopto (*livestream*
> <https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8427a25d-71ee-4e3f-8d10-af32012a1053>
> )
>
>
> *Who: * Yoav Artzi, Cornell University
>
>
> ------------------------------
>
> *Title: *Interaction and Natural Language Learning
> *Abstract: *This talk focuses on the challenges and opportunities that
> interactions provide for natural language learning. It is divided into two
> parts. First, I will show how collaborative interactions enable continual
> learning, where agentive systems improve over time through interaction. I
> will describe an interactive game-like environment that instantiates
> collaborative interactions with natural language coordination, and show how
> it creates a contextual bandit learning scenario for language production
> (i.e., generation). I will also briefly show how this formulation
> generalizes to language comprehension. In the second part, I will discuss
> language-conditioned reinforcement learning (RL). Although the pairing of
> natural language and RL is promising for both research and application, it
> is a research avenue that remains challenging to pursue. I will describe a
> new approach for language-conditioned RL benchmarking that strikes a
> balance between research accessibility and retaining the complexities and
> nuances of natural language.
>
> *Bio: **Yoav** Artzi* is an Associate Professor in the Department of
> Computer Science and Cornell Tech at Cornell University. His research
> focuses on developing learning methods for natural language understanding
> and generation in automated interactive systems. He received an NSF CAREER
> award, and his work was acknowledged by awards and honorable mentions at
> ACL, EMNLP, NAACL, and IROS. Yoav holds a B.Sc. from Tel Aviv University
> and a Ph.D. from the University of Washington.
>
> *Host: Karen Livescu <klivescu at ttic.edu>*
>
>
> ***********************************************************************************
>
> For more information on the colloquium series or to subscribe to the
> mailing list, please see http://www.ttic.edu/colloquium.php
>
>
>
>
> Mary C. Marre
> Faculty Administrative Support
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Chicago, IL 60637*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
>
> On Tue, Oct 18, 2022 at 1:41 PM Mary Marre <mmarre at ttic.edu> wrote:
>
>> *When:* Monday, October 24th at* 11:30 am CT*
>>
>>
>> *Where: *Talk will be given *live, in-person* at
>>
>> TTIC, 6045 S. Kenwood Avenue
>>
>> 5th Floor, Room 530
>>
>>
>> *Virtually:* via Panopto (*livestream*
>> <https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8427a25d-71ee-4e3f-8d10-af32012a1053>
>> )
>>
>>
>> *Who: * Yoav Artzi, Cornell University
>>
>>
>> ------------------------------
>>
>> *Title: *Interaction and Natural Language Learning
>> *Abstract: *This talk focuses on the challenges and opportunities that
>> interactions provide for natural language learning. It is divided into two
>> parts. First, I will show how collaborative interactions enable continual
>> learning, where agentive systems improve over time through interaction. I
>> will describe an interactive game-like environment that instantiates
>> collaborative interactions with natural language coordination, and show how
>> it creates a contextual bandit learning scenario for language production
>> (i.e., generation). I will also briefly show how this formulation
>> generalizes to language comprehension. In the second part, I will discuss
>> language-conditioned reinforcement learning (RL). Although the pairing of
>> natural language and RL is promising for both research and application, it
>> is a research avenue that remains challenging to pursue. I will describe a
>> new approach for language-conditioned RL benchmarking that strikes a
>> balance between research accessibility and retaining the complexities and
>> nuances of natural language.
>>
>> *Bio: **Yoav** Artzi* is an Associate Professor in the Department of
>> Computer Science and Cornell Tech at Cornell University. His research
>> focuses on developing learning methods for natural language understanding
>> and generation in automated interactive systems. He received an NSF CAREER
>> award, and his work was acknowledged by awards and honorable mentions at
>> ACL, EMNLP, NAACL, and IROS. Yoav holds a B.Sc. from Tel Aviv University
>> and a Ph.D. from the University of Washington.
>>
>> *Host: Karen Livescu <klivescu at ttic.edu>*
>>
>>
>> ***********************************************************************************
>>
>> For more information on the colloquium series or to subscribe to the
>> mailing list, please see http://www.ttic.edu/colloquium.php
>>
>>
>> Mary C. Marre
>> Faculty Administrative Support
>> *Toyota Technological Institute*
>> *6045 S. Kenwood Avenue*
>> *Chicago, IL 60637*
>> *mmarre at ttic.edu <mmarre at ttic.edu>*
>>
>
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