Search Results for author: Zayne Sprague

Found 6 papers, 5 papers with code

MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

1 code implementation24 Oct 2023 Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

We evaluate a range of LLMs and prompting techniques on this dataset and characterize the gaps that remain for techniques like chain-of-thought to perform robust reasoning.

Deductive Additivity for Planning of Natural Language Proofs

1 code implementation5 Jul 2023 Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

Specifically, we evaluate whether embedding spaces exhibit a property we call deductive additivity: the sum of premise statement embeddings should be close to embeddings of conclusions based on those premises.

Language Modelling Large Language Model +1

Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization

1 code implementation15 Jun 2023 Rohan Chandra, Rahul Menon, Zayne Sprague, Arya Anantula, Joydeep Biswas

This paper presents a fully decentralized approach for realtime non-cooperative multi-robot navigation in social mini-games, such as navigating through a narrow doorway or negotiating right of way at a corridor intersection.

Collision Avoidance Multi-agent Reinforcement Learning +3

Natural Language Deduction with Incomplete Information

2 code implementations1 Nov 2022 Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett

A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a set of premises.

Text Generation

Natural Language Deduction through Search over Statement Compositions

no code implementations16 Jan 2022 Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett

In settings from fact-checking to question answering, we frequently want to know whether a collection of evidence (premises) entails a hypothesis.

Fact Checking Question Answering

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