Neural Conversational AI Workshop
What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots?

Accepted Papers

DiversiGATE: A Comprehensive Framework for Reliable Large Language Models

Shima Imani · Ali Beyram · Harsh Shrivastava

Can Large Language Models Reason Algorithmically in an Interactive Environment?

Siwei Yang · Yi Xu · Shitong Xu · Zhongkai Zhao · Bingchen Zhao

AutoML-GPT: Large Language Model for AutoML

Yun Da Tsai · Yu-Che Tsai · Bo-Wei Huang · Chun-Pai Yang · Shou-De Lin

TRAC: Trustworthy Retrieval Augmented Chatbot

Shuo Li · Sangdon Park · Insup Lee · Osbert Bastani

LLM2Loss: Leveraging Language Models for Explainable Model Diagnostics

Shervin Ardeshir

In-Context Exemplars as Clues to Retrieving from Large Associative Memory

Jiachen Zhao

Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Sahar Abdelnabi · Kai Greshake · Shailesh Mishra · Christoph Endres · Thorsten Holz · Mario Fritz

Teach_16_Not what you've signed up for.mp4

teach_16_Not what you've signed up for.pdf

Large Language Models can Share Images, Too!

Young-Jun Lee · Jonghwan Hyeon · Ho-Jin Choi

TEACH@ICML2023_poster.png

Conformal Prediction with Large Language Models for Multi-choice Question Answering

Charles Lu · Bhawesh Kumar · Gauri Gupta · Anil Palepu · David Bellamy · Ramesh Raskar · Andrew Beam

Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents

Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian Ma · Yitao Liang

Teaching Arithmetic to Small Transformers

Nayoung Lee · Kartik Sreenivasan · Jason Lee · Kangwook Lee · Dimitris Papailiopoulos

Situated Interaction with Real-Time State Conditioning of Language Models

Sunny Panchal · Guillaume Berger · Antoine Mercier · Cornelius Böhm · Florian Dietrichkeit · Xuanlin Li · Reza Pourreza · Pulkit Madan · Apratim Bhattacharyya · Mingu Lee · Mark Todorovich · Ingo Bax · Roland Memisevic

LLM Guided Inductive Inference for Solving Compositional Problems

Abhigya Sodani · Lauren Moos · Matthew Mirman

Large Language Models as Conversational Moderators: Promoting Constructive Dialogue to Reduce Online Polarization

Hyundong Cho · Jonathan May

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik’s Cube

Kausik Lakkaraju · Vedant Khandelwal · Biplav Srivastava · Forest Agostinelli · Hengtao Tang · Prathamjeet Singh · Dezhi Wu · Matt Irvin · Ashish Kundu

ICML_TEACH_Poster.pptx.pdf

Can Chatbots “Understand”? Evidence of Meaning in Language Models Trained on Programs

Charles Jin · Martin Rinard

Let’s Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning

Xiao Ma · Swaroop Mishra · Ahmad Beirami · Alex Beutel · Jilin Chen

Robust Language Generation through Covariant Data Augmentation and Loss Consistency Regularization

Tianjian Huang · Shaunak A Halbe · Chinnadhurai Sankar · Pooyan Amini · Satwik Kottur · Alborz Geramifard · Meisam Razaviyayn · Ahmad Beirami

Idiolect: A Reconfigurable Voice Coding Assistant

Breandan Considine · Nicholas Albion · Xujie Si

LMQL Chat: Scripted Chatbot Development

Luca Beurer-Kellner · Marc Fischer · Martin Vechev

Assessing Spoken Language Understanding Pipeline of a Multimodal Dialogue System for Kids Learning Math at Home

Eda Okur · Roddy Fuentes Alba · Saurav Sahay · Lama Nachman

Disclosing the Biases in Large Language Models via Reward Based Questioning

Ezgi Korkmaz

Page updated

Google Sites

Report abuse

Neural Conversational AI Workshop What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots?

Accepted Papers

Shima Imani · Ali Beyram · Harsh Shrivastava

Siwei Yang · Yi Xu · Shitong Xu · Zhongkai Zhao · Bingchen Zhao

Yun Da Tsai · Yu-Che Tsai · Bo-Wei Huang · Chun-Pai Yang · Shou-De Lin

Shuo Li · Sangdon Park · Insup Lee · Osbert Bastani

Shervin Ardeshir

Jiachen Zhao

Sahar Abdelnabi · Kai Greshake · Shailesh Mishra · Christoph Endres · Thorsten Holz · Mario Fritz

Young-Jun Lee · Jonghwan Hyeon · Ho-Jin Choi

Charles Lu · Bhawesh Kumar · Gauri Gupta · Anil Palepu · David Bellamy · Ramesh Raskar · Andrew Beam

Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian Ma · Yitao Liang

Nayoung Lee · Kartik Sreenivasan · Jason Lee · Kangwook Lee · Dimitris Papailiopoulos

Sunny Panchal · Guillaume Berger · Antoine Mercier · Cornelius Böhm · Florian Dietrichkeit · Xuanlin Li · Reza Pourreza · Pulkit Madan · Apratim Bhattacharyya · Mingu Lee · Mark Todorovich · Ingo Bax · Roland Memisevic

Abhigya Sodani · Lauren Moos · Matthew Mirman

Hyundong Cho · Jonathan May

Kausik Lakkaraju · Vedant Khandelwal · Biplav Srivastava · Forest Agostinelli · Hengtao Tang · Prathamjeet Singh · Dezhi Wu · Matt Irvin · Ashish Kundu

Can Chatbots “Understand”? Evidence of Meaning in Language Models Trained on Programs

Charles Jin · Martin Rinard

Xiao Ma · Swaroop Mishra · Ahmad Beirami · Alex Beutel · Jilin Chen

Tianjian Huang · Shaunak A Halbe · Chinnadhurai Sankar · Pooyan Amini · Satwik Kottur · Alborz Geramifard · Meisam Razaviyayn · Ahmad Beirami

Breandan Considine · Nicholas Albion · Xujie Si

Luca Beurer-Kellner · Marc Fischer · Martin Vechev

Eda Okur · Roddy Fuentes Alba · Saurav Sahay · Lama Nachman

Ezgi Korkmaz

Neural Conversational AI Workshop
What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots?