Ximing Lu

Orcid: 0000-0001-6671-4573

According to our database1, Ximing Lu authored at least 59 papers between 2011 and 2024.

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Bibliography

2024
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text.
CoRR, 2024

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.
CoRR, 2024

Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness.
CoRR, 2024

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
CoRR, 2024

Information-Theoretic Distillation for Reference-less Summarization.
CoRR, 2024

A Roadmap to Pluralistic Alignment.
CoRR, 2024

Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Position: A Roadmap to Pluralistic Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Generative AI Paradox: "What It Can Create, It May Not Understand".
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tailoring Self-Rationalizers with Multi-Reward Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.
CoRR, 2023

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing.
CoRR, 2023

Improving Language Models with Advantage-based Offline Policy Gradients.
CoRR, 2023

Localized Symbolic Knowledge Distillation for Visual Commonsense Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faith and Fate: Limits of Transformers on Compositionality.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generating Sequences by Learning to Self-Correct.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

STEER: Unified Style Transfer with Expert Reinforcement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
End-to-End diagnosis of breast biopsy images with transformers.
Medical Image Anal., 2022

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
CoRR, 2022

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.
CoRR, 2022

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR, 2022

Multimodal Knowledge Alignment with Reinforcement Learning.
CoRR, 2022

NaturalProver: Grounded Mathematical Proof Generation with Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

QUARK: Controllable Text Generation with Reinforced Unlearning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Twist Decoding: Diverse Generators Guide Each Other.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProsocialDialog: A Prosocial Backbone for Conversational Agents.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generated Knowledge Prompting for Commonsense Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
On-the-Fly Controlled Text Generation with Experts and Anti-Experts.
CoRR, 2021

On-the-Fly Attention Modularization for Neural Generation.
CoRR, 2021

Understanding Few-Shot Commonsense Knowledge Models.
CoRR, 2021

MERLOT: Multimodal Neural Script Knowledge Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Analyzing Commonsense Emergence in Few-shot Knowledge Models.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On-the-Fly Attention Modulation for Neural Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.
CoRR, 2020

HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images.
CoRR, 2020

2011
The Design of Portable Integration Strengthening Machine.
Int. J. Adv. Pervasive Ubiquitous Comput., 2011


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