activity
20192026
most citedDomain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve

14 citations · 32 across the 28 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024★ 1 cited

Accounting for Sycophancy in Language Model Uncertainty Estimation

Anthony Sicilia, Mert Inan, Malihe Alikhani

Effective human-machine collaboration requires machine learning models to externalize uncertainty, so users can reflect and intervene when necessary. For language models, these rep…

cs.CL2024

Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors

Anthony Sicilia, Malihe Alikhani

Conversation forecasting tasks a model with predicting the outcome of an unfolding conversation. For instance, it can be applied in social media moderation to predict harmful user…

cs.CL2024

Generating Signed Language Instructions in Large-Scale Dialogue Systems

Mert İnan, Katherine Atwell, Anthony Sicilia +2

We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide m…

cs.CL2024

Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios

Sabit Hassan, Anthony Sicilia, Malihe Alikhani

Ensuring robust safety measures across a wide range of scenarios is crucial for user-facing systems. While Large Language Models (LLMs) can generate valuable data for safety measur…

cs.CL2024

An Active Learning Framework for Inclusive Generation by Large Language Models

Sabit Hassan, Anthony Sicilia, Malihe Alikhani

Ensuring that Large Language Models (LLMs) generate text representative of diverse sub-populations is essential, particularly when key concepts related to under-represented groups…

cs.CL2024

Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others in Conversation Forecasting

Anthony Sicilia, Malihe Alikhani

Typically, when evaluating Theory of Mind, we consider the beliefs of others to be binary: held or not held. But what if someone is unsure about their own beliefs? How can we quant…

cs.CL2024

Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models

Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu +2

Effective interlocutors account for the uncertain goals, beliefs, and emotions of others. But even the best human conversationalist cannot perfectly anticipate the trajectory of a…