Xiang Ren

DRInQ: Evaluating Conversational Implicature with Controlled Context Variation ACL 2026 Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations ACL 2026 Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries EMNLP 2025 Improving Language Model Personas via Rationalization with Psychological Scaffolds EMNLP 2025 Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025 Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time EMNLP 2025 Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025 REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance NAACL 2025 CAVE: Controllable Authorship Verification Explanations NAACL 2025 Attributing Culture-Conditioned Generations to Pretraining Corpora ICLR 2025 ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations ACL 2025 Diverging Preferences: When do Annotators Disagree and do Models Know? ICML 2025 Stepwise Informativeness Search for Improving LLM Reasoning EMNLP 2025 Tailoring Self-Rationalizers with Multi-Reward Distillation ICLR 2024 What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement ICML 2024 WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild EMNLP 2024 Symbolic Working Memory Enhances Language Models for Complex Rule Application EMNLP 2024 Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack NIPS 2024 SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures NIPS 2024 Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification ACL 2024 Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL 2024 Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024 In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search EMNLP 2024 WINOVIZ: Probing Visual Properties of Objects Under Different States NAACL 2024 Instruction-following Evaluation through Verbalizer Manipulation NAACL 2024 Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL 2024 PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning ICLR 2024 Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ICLR 2024 WildChat: 1M ChatGPT Interaction Logs in the Wild ICLR 2024 Faith and Fate: Limits of Transformers on Compositionality NIPS 2023 Estimating Large Language Model Capabilities without Labeled Test Data EMNLP 2023 How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023 LLM-driven Instruction Following: Progresses and Concerns EMNLP 2023 Exploring Distributional Shifts in Large Language Models for Code Analysis EMNLP 2023 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 On Grounded Planning for Embodied Tasks with Language Models AAAI 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks NIPS 2023 Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance CORL 2023 REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023 Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step ACL 2023 Cross-lingual Continual Learning ACL 2023 SCOTT: Self-Consistent Chain-of-Thought Distillation ACL 2023 APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL 2023 Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023 FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023 I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons ACL 2023 Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023 BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023 LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion ACL 2023 XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023 AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction EACL 2023 Dataless Knowledge Fusion by Merging Weights of Language Models ICLR 2023 PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales ICLR 2023 Contextualized Scene Imagination for Generative Commonsense Reasoning ICLR 2022 Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models NAACL 2022 Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora NAACL 2022 FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022 Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL 2022 Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation ACL 2022 FaiRR: Faithful and Robust Deductive Reasoning over Natural Language ACL 2022 Unsupervised Cross-Task Generalization via Retrieval Augmentation NIPS 2022 UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ICML 2022 Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer ACL 2022 A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ACL 2022 On Continual Model Refinement in Out-of-Distribution Data Streams ACL 2022 KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL 2022 Knowledge-Augmented Methods for Natural Language Processing ACL 2022 Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora ACL 2022 UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ACL 2022 NS3: Neuro-symbolic Semantic Code Search NIPS 2022 Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality EMNLP 2022 RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners EMNLP 2022 Machine Translation Robustness to Natural Asemantic Variation EMNLP 2022 NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge NAACL 2022 On the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022 Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts EMNLP 2022 ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022 Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation EMNLP 2021 Refining Language Models with Compositional Explanations NIPS 2021 SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning NIPS 2021 Gradient-based Editing of Memory Examples for Online Task-free Continual Learning NIPS 2021 IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021 Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning ACL 2021 ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL 2021 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL 2021 Learning to Generate Task-Specific Adapters from Task Description ACL 2021 RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge ACL 2021 Do Language Models Perform Generalizable Commonsense Inference? ACL 2021 Learning Contextualized Knowledge Structures for Commonsense Reasoning ACL 2021 Improving Counterfactual Generation for Fair Hate Speech Detection ACL 2021 RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021 Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021 Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation EMNLP 2021 ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning EMNLP 2021 CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021 On the Influence of Masking Policies in Intermediate Pre-training EMNLP 2021 RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms EMNLP 2021 Discretized Integrated Gradients for Explaining Language Models EMNLP 2021 Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding EMNLP 2021 Probing Commonsense Explanation in Dialogue Response Generation EMNLP 2021 Using Word Embedding to Reveal Monetary Policy Explanation Changes EMNLP 2021 Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk EMNLP 2021 Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation ICLR 2021 Pre-training Text-to-Text Transformers for Concept-centric Common Sense ICLR 2021 Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning IJCNLP 2021 ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data IJCNLP 2021 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding IJCNLP 2021 Learning to Generate Task-Specific Adapters from Task Description IJCNLP 2021 RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge IJCNLP 2021 Do Language Models Perform Generalizable Commonsense Inference? IJCNLP 2021 Learning Contextualized Knowledge Structures for Commonsense Reasoning IJCNLP 2021 Improving Counterfactual Generation for Fair Hate Speech Detection IJCNLP 2021 X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering NAACL 2021 On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning NAACL 2021 TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL 2021 Differentiable Open-Ended Commonsense Reasoning NAACL 2021 Modality-specific Distillation NAACL 2021 Learning from Explanations with Neural Execution Tree ICLR 2020 Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020 Visually Grounded Continual Learning of Compositional Phrases EMNLP 2020 Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs EMNLP 2020 Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models EMNLP 2020 SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery EMNLP 2020 TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL 2020 Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL 2020 Facet-Aware Evaluation for Extractive Summarization ACL 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Screenplay Quality Assessment: Can We Predict Who Gets Nominated? ACL 2020 LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020 Teaching Machine Comprehension with Compositional Explanations EMNLP 2020 Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora EMNLP 2020 Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution IJCAI 2020 Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training IJCAI 2020 Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020 CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP 2020 Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering EMNLP 2020 Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models ICLR 2020 AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging ACL 2019 Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction AAAI 2019 KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning EMNLP 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning EMNLP 2019 Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 Learning Dynamic Context Augmentation for Global Entity Linking IJCNLP 2019 Hierarchical Text Classification with Reinforced Label Assignment IJCNLP 2019 Collaborative Policy Learning for Open Knowledge Graph Reasoning IJCNLP 2019 KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning IJCNLP 2019 Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction IJCNLP 2019 Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes IJCNLP 2019 HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019 Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019 Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) ACL 2019 KCAT: A Knowledge-Constraint Typing Annotation Tool ACL 2019 Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019 Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019 Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering NAACL 2019 Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis ACL 2019 Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) EMNLP 2019 HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019 Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes EMNLP 2019 Scalable Construction and Reasoning of Massive Knowledge Bases NAACL 2018 GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models ICML 2018 Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018 Learning Named Entity Tagger using Domain-Specific Dictionary EMNLP 2018 Hierarchical Graph Representation Learning with Differentiable Pooling NIPS 2018 End-to-End Reinforcement Learning for Automatic Taxonomy Induction ACL 2018 Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach EMNLP 2017 Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences ACL 2017 Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016 Cross-media Event Extraction and Recommendation NAACL 2016 AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding EMNLP 2016