Julian McAuley

125 papers · 2010–2026 · 20 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🏃 Academic Marathon (15) 🗺️ Taxonomy Completionist (157) 🌈 Renaissance Researcher (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (20) 🏠 Conference Loyalist (29) 🤝 Dynamic Duo (18) 🏆 Grand Slam 👥 Mega-Team (34) 🔬 Deep Specialist (13) 🧬 Topic Evolution 🏆 Keyword Champion (3) ❓ The Questioner (2) 📈 Trend Setter 🗃️ Keyword Collector (456) 🔥 Unstoppable (11) ⚡ Prolific Year (5) 💎 Century Club (123) 🚀 Conference Pioneer

Conferences

EMNLP (29) ACL (17) NAACL (14) ICML (10) ICLR (10) IJCNLP (9) AAAI (7) EACL (5) IJCAI (4) CVPR (3) INTERSPEECH (3) WACV (3) COLING (2) ICCV (2) NIPS (2) AISTATS (1) ACML (1) AACL (1) MLHC (1) UAI (1)

Top co-authors

Bodhisattwa Prasad Majumder (18) Canwen Xu (17) Tong Yu (14) Junda Wu (14) Jianmo Ni (13) Zexue He (13) Yu Wang (12) Jingbo Shang (9) Yu Xia (9) Taylor Berg-Kirkpatrick (8)

Research topics

Keywords

large language model (19) text generation (12) language model (8) natural language processing (7) question answering (7) bias mitigation (7) text classification (6) zero-shot learning (5) instruction tuning (5) attention mechanism (5) contrastive learning (5) model compression (4) neural network (4) early exit (3) weakly supervised learning (3) convolutional neural network (3) few-shot learning (3) causal inference (3) information retrieval (3) prompt engineering (3)

Papers

When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation EACL 2026

Inductive Generative Recommendation via Retrieval-based Speculation AAAI 2026

Large Scale Knowledge Washing ICLR 2025

Quantifying Cognitive Bias Induction in LLM-Generated Content AACL 2025

Self-Updatable Large Language Models by Integrating Context into Model Parameters ICLR 2025

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025

Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement ICLR 2025

Presto! Distilling Steps and Layers for Accelerating Music Generation ICLR 2025

TeaserGen: Generating Teasers for Long Documentaries ICLR 2025

BiasEdit: Debiasing Stereotyped Language Models via Model Editing NAACL 2025

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025

From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025

Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025

Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision NAACL 2025

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models COLING 2025

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs COLING 2025

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025

Symbolic Representation for Any-to-Any Generative Tasks CVPR 2025

Quantifying Cognitive Bias Induction in LLM-Generated Content IJCNLP 2025

M+: Extending MemoryLLM with Scalable Long-Term Memory ICML 2025

ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation ICML 2025

Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs EMNLP 2025

SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025

CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning EMNLP 2025

Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation NAACL 2024

Linear Layer Extrapolation for Fine-Grained Emotion Classification EMNLP 2024

Cognitive Bias in Decision-Making with LLMs EMNLP 2024

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024

Automatic Pair Construction for Contrastive Post-training NAACL 2024

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems ICLR 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024

Small Models are Valuable Plug-ins for Large Language Models ACL 2024

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning ACL 2024

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment ACL 2024

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface AAAI 2024

Mitigating Hallucination in Fictional Character Role-Play EMNLP 2024

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation EMNLP 2024

Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving WACV 2024

MEMORYLLM: Towards Self-Updatable Large Language Models ICML 2024

DITTO: Diffusion Inference-Time T-Optimization for Music Generation ICML 2024

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations ICML 2024

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML 2024

Extending Input Contexts of Language Models through Training on Segmented Sequences NAACL 2024

Spoiler Detection as Semantic Text Matching EMNLP 2023

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation EMNLP 2023

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions EMNLP 2023

Assistive Recipe Editing through Critiquing EACL 2023

Unsupervised Improvement of Factual Knowledge in Language Models EACL 2023

A Survey on Dynamic Neural Networks for Natural Language Processing EACL 2023

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos ICLR 2023

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets ICML 2023

Learning Concise and Descriptive Attributes for Visual Recognition ICCV 2023

A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023

Factual and Informative Review Generation for Explainable Recommendation AAAI 2023

“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion AAAI 2023

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations ACL 2023

Synthetic Pre-Training Tasks for Neural Machine Translation ACL 2023

LongCoder: A Long-Range Pre-trained Language Model for Code Completion ICML 2023

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data EMNLP 2023

Instilling Type Knowledge in Language Models via Multi-Task QA NAACL 2022

Leashing the Inner Demons: Self-Detoxification for Language Models AAAI 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection ACL 2022

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining ACL 2022

BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022

SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval ACL 2022

Efficiently Tuned Parameters Are Task Embeddings EMNLP 2022

InforMask: Unsupervised Informative Masking for Language Model Pretraining EMNLP 2022

SHARE: a System for Hierarchical Assistive Recipe Editing EMNLP 2022

Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations ICML 2022

Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification NAACL 2022

Cross-Modal Adversarial Reprogramming WACV 2022

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression EMNLP 2021

Weakly Supervised Named Entity Tagging with Learnable Logical Rules IJCNLP 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories IJCNLP 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories ACL 2021

Expressive Neural Voice Cloning ACML 2021

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering EACL 2021

Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding EMNLP 2021

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation EMNLP 2021

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples WACV 2021

ReZero is all you need: fast convergence at large depth UAI 2021

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge NAACL 2021

Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge NAACL 2021

Weakly Supervised Named Entity Tagging with Learnable Logical Rules ACL 2021

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions EMNLP 2020

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding EMNLP 2020

BERT Loses Patience: Fast and Robust Inference with Early Exit NIPS 2020

Speech Recognition and Multi-Speaker Diarization of Long Conversations INTERSPEECH 2020

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020

Fine-Grained Spoiler Detection from Large-Scale Review Corpora ACL 2019

Improving Neural Story Generation by Targeted Common Sense Grounding EMNLP 2019

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects IJCNLP 2019

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation IJCNLP 2019

Generating Personalized Recipes from Historical User Preferences IJCNLP 2019

Improving Neural Story Generation by Targeted Common Sense Grounding IJCNLP 2019

Generating Personalized Recipes from Historical User Preferences EMNLP 2019

Expediting TTS Synthesis with Adversarial Vocoding INTERSPEECH 2019

Universal Adversarial Perturbations for Speech Recognition Systems INTERSPEECH 2019

Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions MLHC 2019

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering NAACL 2019

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation EMNLP 2019

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects EMNLP 2019

Complete the Look: Scene-Based Complementary Product Recommendation CVPR 2019

Adversarial Audio Synthesis ICLR 2019

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks ICLR 2018

Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior IJCAI 2018

Does mitigating ML's impact disparity require treatment disparity? NIPS 2018

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations ACL 2018

Dance Dance Convolution ICML 2017

Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017

SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation IJCAI 2017

IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017) IJCNLP 2017

Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016

Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering IJCAI 2016

Learning Visual Clothing Style With Heterogeneous Dyadic Co-Occurrences ICCV 2015

Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010