Information-Seeking Dialogue (ISD) agents aim to provide accurate responses to user queries. While proficient in directly addressing user queries, these agents, as well as LLMs in general, predominantly exhibit reactive behavior, lacking the ability to generate proactive responses that actively engage users in sustained conversations. However, existing definitions of proactive dialogue in this context do not focus on how each response actively engages the user and sustains the conversation. Hence, we present a new definition of proactivity that focuses on enhancing the `proactiveness' of each generated response via the introduction of new information related to the initial query. To this end, we construct a proactive dialogue dataset comprising 2,000 single-turn conversations, and introduce several automatic metrics to evaluate response 'proactiveness' which achieved high correlation with human annotation. Additionally, we introduce two innovative Chain-of-Thought (CoT) prompts, the 3-step CoT and the 3-in-1 CoT prompts, which consistently outperform standard prompts by up to 90% in the zero-shot setting.

Redefining Proactivity for Information Seeking Dialogue

An Empirical Bayes Framework for Open-Domain Dialogue Generation

A major issue in open-domain dialogue generation is the agent's tendency to generate repetitive and generic responses. The lack in response diversity has been addressed in recent years via the use of latent variable models, such as the Conditional Variational Auto-Encoder (CVAE), which typically involve learning a latent Gaussian distribution over potential response intents. However, due to latent variable collapse, training latent variable dialogue models are notoriously complex, requiring substantial modification to the standard training process and loss function. Other approaches proposed to improve response diversity also largely entail a significant increase in training complexity. Hence, this paper proposes a Randomized Link (RL) Transformer as an alternative to the latent variable models. The RL Transformer does not require any additional enhancements to the training process or loss function. Empirical results show that, when it comes to response diversity, the RL Transformer achieved comparable performance compared to latent variable models.

A Randomized Link Transformer for Diverse Open-Domain Dialogue Generation

SICon 2024 examines the role of social influence in conversations, studying how individuals shape and are shaped by their social interactions in dialogue. Topics include persuasive dialogue systems, conversational AI, and socio-linguistic analysis.  [Read more](https://sites.google.com/view/sicon2024/home)

W17: The Second Workshop on Social Influence in Conversations (SICon 2024)

## Welcome to EMNLP 2024! 
We are excited to welcome you to one of the most prominent conferences in the field of Natural Language Processing. This year, EMNLP 2024 is being held in a hybrid format,
offering both virtual and in-person participation in beautiful Miami. Due to a record-breaking number of submissions, we've expanded the total number of accepted papers to accommodate more cutting-edge research from around the globe.
### [Conference Handbook](https://drive.google.com/file/d/1WPROgxjLAC96AJL7Ugy0tEnYm7dkrbHt/view?usp=sharing)

You are required to register for this event. **Please register [here](https://2024.emnlp.org/registration/).** The EMNLP 2024 event page on Underline will be open to public one week prior to the event.

Please register!

EMNLP 2024

EMNLP 2024 will take place in Miami, Florida from Nov 12th to Nov 16th, 2024, at the Hyatt Regency Miami Hote and on Underline for remote participants.

*This is an IN-PERSON ONLY workshop. Session recording will be available here.* **Workshop Organizers:** Sebastian Gehrmann, Khyathi Raghavi Chandu, Alex Wang, Elizabeth Clark, Kaustubh Dhole and João Sedoc
 *Coffee Break 10:30 am* 
*Lunch Break 12:30 pm* 
*Coffee Break 3:30 pm* [**Workshop Website**](https://gem-benchmark.com/workshop) Many new NLP applications are cast through the lens of natural language generation. With the advent of these new approaches, many opportunities arise: generation in previously less studied languages, new evaluation paradigms, methods for corpus creation, more efficient architectures, strategies for safe deployments, among many others. At the same time, we can learn from the rich history of NLG research to further improve generation methods. These developments require robust and sound NLG evaluation processes. To that end, the GEM workshop aims to encourage the development of model auditing and human evaluation strategies, and to popularize model evaluations in languages beyond English. [**Schedule**](https://gem-benchmark.com/workshop)
 [**Go to Gather**](https://app.gather.town/app/ROH1myZvp9ba7a3C/EMNLP2023?spawnToken=X1A0B-iFRmqFCtKJHm-D)

W11: Natural Language Generation, Evaluation, and Metric (GEM)

workshop paper

**Welcome to EMNLP 2023!**

On behalf of the EMNLP 2023 Organizing Committee, I extend a warm and heartfelt welcome to all of you to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). It is with immense pleasure and excitement that we gather here in Singapore, a vibrant hub of innovation and technological advancement.

The conference program is packed with insightful presentations, thought-provoking workshops, and engaging networking opportunities. In addition to the technical sessions, we have also planned several social events that will provide you with the opportunity to connect with your colleagues.

The conference is held in person at the Resorts World Convention Centre in Singapore, and available on-line with the help of Underline.

For those in Singapore, I hope that you will find time to explore the exciting Sentosa Island, Gardens by the Bay, Singapore Botanic Gardens and the many other attractions unique to Singapore.

Of course, we are grateful to our sponsors and partners for their generous support of EMNLP 2023, whose contributions make it possible for us to host this world-class event.

Yuji Matsumoto (RIKEN AIP) 
EMNLP 2023 General Chair

To access the **EMNLP 2023** event page on Underline, you need to register for the Conference. 
Please follow **[this link](https://2023.emnlp.org/registration/)** for more details.

EMNLP 2023

EMNLP 2023 took place in Singapore from Dec 6th to Dec 10th, 2023.

**Organizers:** Bing Liu, Alexandros Papangelis, Stefan Ultes, Abhinav Rastogi, Yun-Nung (Vivian) Chen,
Georgios Spithourakis, Elnaz Nouri, Weiyan Shi **Description:** Over the past decades, mathematicians, linguists, and computer scientists have dedicated their efforts towards empowering
human-machine communication in natural language. While in recent years the emergence of virtual personal assistants
such as Siri, Alexa, Google Assistant, and Cortana has pushed the field forward, the development of such conversational
agents remains difficult with numerous unanswered questions and challenges. Following the success of the 3rd NLP
for Conversational AI workshop at EMNLP, "The 4th NLP4ConvAI” will be a one-day workshop, co-located with ACL
2022 in Dublin. The goal of this workshop is to bring together researchers and practitioners to discuss impactful research
problems in this area, share findings from real-world applications, and generate ideas for future research directions. **Please visit our [website](https://sites.google.com/view/4thnlp4convai/)**

(ConvAI) The 4th Workshop on NLP for Conversational AI

# Welcome everyone to ACL 2022!

The 60th Annual Meeting of the Association for Computational Linguistics is taking place May 22-27, 2022 as a hybrid event, in Dublin and online. We are happy to welcome all of you to this anniversary edition with an almost 50-50 in-person and virtual participation. 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, three amazing keynote events and two new initiatives of invited talks: Spotlight Talks for Young Rising Stars (STIRS) and The Next Big Idea Talks. Posters (including Findings of ACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop will have an oral session and a poster session as part of Poster Session 1. The program also features eight Tutorials and 28 Workshops. 

 
We wish you a wonderful conference! 
[**The ACL 2022 Organizing Committee**](https://www.2022.aclweb.org/organisers)
 
[**Conference Handbook**](https://drive.google.com/file/d/1_BUCMfhMVrjG9E2e71aHdHeE28KSje0l/view?usp=sharing) 
[**Mini Handbook**](https://drive.google.com/file/d/1qlBKl0wzmlVF1oCeMQl3BahLd9nLP5Ce/view?usp=sharing) 
[**Posters and Demo guides**](https://drive.google.com/file/d/1UucMAoCNncIOaH1rMMDa0owuG9qgvJTG/view?usp=sharing)

ACL 2022

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

Jing Yang Lee

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SHORT BIO

Presentations

Redefining Proactivity for Information Seeking Dialogue

An Empirical Bayes Framework for Open-Domain Dialogue Generation

A Randomized Link Transformer for Diverse Open-Domain Dialogue Generation

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