Julian McAuley

CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing ACL 2026 SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes ACL 2026 Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders ACL 2026 Inductive Generative Recommendation via Retrieval-based Speculation AAAI 2026 Evaluating Language Model Pluralism through In-the-wild Crowd Discussions ACL 2026 When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation EACL 2026 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025 BiasEdit: Debiasing Stereotyped Language Models via Model Editing NAACL 2025 Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 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 TeaserGen: Generating Teasers for Long Documentaries ICLR 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 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025 Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts 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 Symbolic Representation for Any-to-Any Generative Tasks CVPR 2025 Quantifying Cognitive Bias Induction in LLM-Generated Content AACL 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 Self-Updatable Large Language Models by Integrating Context into Model Parameters ICLR 2025 Large Scale Knowledge Washing ICLR 2025 Presto! Distilling Steps and Layers for Accelerating Music Generation ICLR 2025 Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement ICLR 2025 OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models ICLR 2025 Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation NAACL 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface AAAI 2024 Cognitive Bias in Decision-Making with LLMs EMNLP 2024 Linear Layer Extrapolation for Fine-Grained Emotion Classification EMNLP 2024 Driving Through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving WACV 2024 Mitigating Hallucination in Fictional Character Role-Play EMNLP 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 Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation EMNLP 2024 RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems ICLR 2024 MEMORYLLM: Towards Self-Updatable Large Language Models ICML 2024 Extending Input Contexts of Language Models through Training on Segmented Sequences NAACL 2024 DITTO: Diffusion Inference-Time T-Optimization for Music Generation ICML 2024 SelfVC: Voice Conversion With Iterative Refinement using Self Transformations ICML 2024 Automatic Pair Construction for Contrastive Post-training NAACL 2024 Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding ICML 2024 LongCoder: A Long-Range Pre-trained Language Model for Code Completion ICML 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 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 Spoiler Detection as Semantic Text Matching EMNLP 2023 Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data 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 Learning Concise and Descriptive Attributes for Visual Recognition ICCV 2023 CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos ICLR 2023 CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets ICML 2023 SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022 LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval ACL 2022 Instilling Type Knowledge in Language Models via Multi-Task QA NAACL 2022 Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification NAACL 2022 InforMask: Unsupervised Informative Masking for Language Model Pretraining EMNLP 2022 Efficiently Tuned Parameters Are Task Embeddings EMNLP 2022 Leashing the Inner Demons: Self-Detoxification for Language Models AAAI 2022 Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022 SHARE: a System for Hierarchical Assistive Recipe Editing EMNLP 2022 Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection ACL 2022 Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations ICML 2022 Cross-Modal Adversarial Reprogramming WACV 2022 UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining ACL 2022 BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022 Expressive Neural Voice Cloning ACML 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 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 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 Zero-shot Generalization in Dialog State Tracking through Generative Question Answering EACL 2021 ReZero is all you need: fast convergence at large depth UAI 2021 Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples WACV 2021 Unsupervised Enrichment of Persona-grounded Dialog with Background Stories ACL 2021 Weakly Supervised Named Entity Tagging with Learnable Logical Rules ACL 2021 BERT Loses Patience: Fast and Robust Inference with Early Exit NIPS 2020 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 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 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 Generating Personalized Recipes from Historical User Preferences EMNLP 2019 Improving Neural Story Generation by Targeted Common Sense Grounding EMNLP 2019 Generating Personalized Recipes from Historical User Preferences IJCNLP 2019 Improving Neural Story Generation by Targeted Common Sense Grounding IJCNLP 2019 Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects EMNLP 2019 Expediting TTS Synthesis with Adversarial Vocoding INTERSPEECH 2019 Universal Adversarial Perturbations for Speech Recognition Systems INTERSPEECH 2019 Complete the Look: Scene-Based Complementary Product Recommendation CVPR 2019 Adversarial Audio Synthesis ICLR 2019 Fine-Grained Spoiler Detection from Large-Scale Review Corpora ACL 2019 Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation 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 Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior IJCAI 2018 Does mitigating ML's impact disparity require treatment disparity? NIPS 2018 Semantically Decomposing the Latent Spaces of Generative Adversarial Networks ICLR 2018 Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations ACL 2018 Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017 SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation IJCAI 2017 Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017 IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017) IJCNLP 2017 Dance Dance Convolution ICML 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