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Marjorie Freedman

7 accepted papers

2025

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo

ICLR 2025oral

A wide range of LM applications require generating text that conforms to syntactic or semantic constraints. Imposing such constraints can be naturally framed as _probabilistic conditioning_, but exact generation from the resulting distribution—which can differ substantially from the LM’s base distri…

2023

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos

EMNLP 2023long main

Multimodal counterfactual reasoning is a vital yet challenging ability for AI systems. It involves predicting the outcomes of hypothetical circumstances based on vision and language inputs, which enables AI models to learn from failures and explore hypothetical scenarios. Despite its importance, the…

Cited by 0SourcecodeScholar
2023

RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation

ACL 2023long

Endowing chatbots with a consistent persona is essential to an engaging conversation, yet it remains an unresolved challenge. In this work, we propose a new retrieval-enhanced approach for personalized response generation. Specifically, we design a hierarchical transformer retriever trained on dialo…

2023

Remember what you did so you know what to do next

EMNLP 2023short findings

We explore using the 6B parameter GPT-J language model to create a plan for a simulated robot to achieve 30 classes of goals in ScienceWorld, a text game simulator for elementary science experiments and for which previously published empirical work has shown large language models (LLM)s to be a poor…

Cited by 0SourceScholar
2022

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals

ACL 2022long

The ability to sequence unordered events is evidence of comprehension and reasoning about real world tasks/procedures. It is essential for applications such as task planning and multi-source instruction summarization. It often requires thorough understanding of temporal common sense and multimodal i…

Cited by 23SourcePDFScholar
2021

Machine-Assisted Script Curation

NAACL 2021system demonstrations

We describe Machine-Aided Script Curator (MASC), a system for human-machine collaborative script authoring. Scripts produced with MASC include (1) English descriptions of sub-events that comprise a larger, complex event; (2) event types for each of those events; (3) a record of entities expected to…

2021

Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA

EMNLP 2021main

Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional document, e.g., an introductory college textbook or a manual. PTLMs have shown great success in many question-answering task…

Cited by 10SourcePDFScholar