Picture for Boi Faltings

Boi Faltings

The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning

Add code
Jun 27, 2024
Viaarxiv icon

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Add code
Feb 23, 2024
Figure 1 for Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Figure 2 for Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Figure 3 for Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Figure 4 for Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
Viaarxiv icon

δ-CAUSAL: Exploring Defeasibility in Causal Reasoning

Add code
Jan 06, 2024
Figure 1 for δ-CAUSAL: Exploring Defeasibility in Causal Reasoning
Figure 2 for δ-CAUSAL: Exploring Defeasibility in Causal Reasoning
Figure 3 for δ-CAUSAL: Exploring Defeasibility in Causal Reasoning
Figure 4 for δ-CAUSAL: Exploring Defeasibility in Causal Reasoning
Viaarxiv icon

REFINER: Reasoning Feedback on Intermediate Representations

Add code
Apr 04, 2023
Figure 1 for REFINER: Reasoning Feedback on Intermediate Representations
Figure 2 for REFINER: Reasoning Feedback on Intermediate Representations
Figure 3 for REFINER: Reasoning Feedback on Intermediate Representations
Figure 4 for REFINER: Reasoning Feedback on Intermediate Representations
Viaarxiv icon

Language Model Decoding as Likelihood-Utility Alignment

Add code
Oct 13, 2022
Figure 1 for Language Model Decoding as Likelihood-Utility Alignment
Figure 2 for Language Model Decoding as Likelihood-Utility Alignment
Figure 3 for Language Model Decoding as Likelihood-Utility Alignment
Figure 4 for Language Model Decoding as Likelihood-Utility Alignment
Viaarxiv icon

Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation

Add code
May 23, 2022
Figure 1 for Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
Figure 2 for Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
Figure 3 for Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
Figure 4 for Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation
Viaarxiv icon

Interlock-Free Multi-Aspect Rationalization for Text Classification

Add code
May 13, 2022
Figure 1 for Interlock-Free Multi-Aspect Rationalization for Text Classification
Figure 2 for Interlock-Free Multi-Aspect Rationalization for Text Classification
Figure 3 for Interlock-Free Multi-Aspect Rationalization for Text Classification
Viaarxiv icon

Assistive Recipe Editing through Critiquing

Add code
May 05, 2022
Figure 1 for Assistive Recipe Editing through Critiquing
Figure 2 for Assistive Recipe Editing through Critiquing
Figure 3 for Assistive Recipe Editing through Critiquing
Figure 4 for Assistive Recipe Editing through Critiquing
Viaarxiv icon

Positive and Negative Critiquing for VAE-based Recommenders

Add code
Apr 05, 2022
Figure 1 for Positive and Negative Critiquing for VAE-based Recommenders
Figure 2 for Positive and Negative Critiquing for VAE-based Recommenders
Figure 3 for Positive and Negative Critiquing for VAE-based Recommenders
Viaarxiv icon

Representation Memorization for Fast Learning New Knowledge without Forgetting

Add code
Sep 10, 2021
Figure 1 for Representation Memorization for Fast Learning New Knowledge without Forgetting
Figure 2 for Representation Memorization for Fast Learning New Knowledge without Forgetting
Figure 3 for Representation Memorization for Fast Learning New Knowledge without Forgetting
Figure 4 for Representation Memorization for Fast Learning New Knowledge without Forgetting
Viaarxiv icon