NLPExplorer

Xiang Ren

Number of Papers:- 117

Number of Citations:- 19

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

NUSE

NAACL

NLP4ConvAI

SIGDIAL

TrustNLP

EMNLP

WOAH

FL4NLP

Findings

DeepLo

ECONLP

CSRR

maiworkshop

insights

ACL

EACL

BigScience

IJCNLP

Co-Authors:-

Aaron Chan

Aaron Jaech

Abhilasha Ravichander

Aida Mostafazadeh Davani

Akira Matsui

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Instruction-following Evaluation through Verbalizer Manipulation F i n d i n g s - N A A C L

WINOVIZ: Probing Visual Properties of Objects Under Different States insights WS

Woojeong Jin | Tejas Srinivasan | Jesse Thomason | Xiang Ren |

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification F i n d i n g s - A C L

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL

Siyuan Wang | Zhongyu Wei | Yejin Choi | Xiang Ren |

Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL

Kaitlyn Zhou | Jena Hwang | Xiang Ren | Maarten Sap |

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL

Symbolic Working Memory Enhances Language Models for Complex Rule Application EMNLP

Siyuan Wang | Zhongyu Wei | Yejin Choi | Xiang Ren |

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild EMNLP

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search EMNLP

AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction EACL

Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step ACL

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL

Exploring Distributional Shifts in Large Language Models for Code Analysis EMNLP

Shushan Arakelyan | Rocktim Das | Yi Mao | Xiang Ren |

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench F i n d i n g s - E M N L P

Qinyuan Ye | Harvey Fu | Xiang Ren | Robin Jia |

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL

XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL

Cross-lingual Continual Learning ACL

Meryem M’hamdi | Xiang Ren | Jonathan May |

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP

evision PDF of 'SCOTT: Self-Consistent Chain-of-Thought Distillation ACL

REV: Information-Theoretic Evaluation of Free-Text Rationales ACL

LLM-driven Instruction Following: Progresses and Concerns EMNLP

Estimating Large Language Model Capabilities without Labeled Test Data F i n d i n g s - E M N L P

BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL

Jun Yan | Vansh Gupta | Xiang Ren |

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion ACL

Dongfu Jiang | Xiang Ren | Bill Yuchen Lin |

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL

Albert Xu | Xiang Ren | Robin Jia |

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons ACL

FaiRR: Faithful and Robust Deductive Reasoning over Natural Language ACL

Soumya Sanyal | Harman Singh | Xiang Ren |

Knowledge-Augmented Methods for Natural Language Processing ACL

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL

Proceedings of the First Workshop on Federated Learning for Natural Language Processing (FL4NLP 2022) ACL FL4NLP

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer ACL

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ACL

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora ACL BigScience

Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022) ACL CSRR

On Continual Model Refinement in Out-of-Distribution Data Streams ACL

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation ACL

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ACL BigScience

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks Findings NAACL

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora NAACL

On the Robustness of Reading Comprehension Models to Entity Renaming NAACL

NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge NAACL

Alexander Spangher | Xiang Ren | Jonathan May | Nanyun Peng |

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models NAACL

Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing DeepLo NAACL

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality EMNLP

RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners EMNLP

Soumya Sanyal | Zeyi Liao | Xiang Ren |

Machine Translation Robustness to Natural Asemantic Variation EMNLP

Jacob Bremerman | Xiang Ren | Jonathan May |

Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts F i n d i n g s - E M N L P

Qinyuan Ye | Juan Zha | Xiang Ren |

ER-Test: Evaluating Explanation Regularization Methods for Language Models F i n d i n g s - E M N L P

Differentiable Open-Ended Commonsense Reasoning NAACL

Modality-specific Distillation NAACL maiworkshop

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names NAACL

On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning NAACL

Proceedings of the First Workshop on Trustworthy Natural Language Processing NAACL TrustNLP

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering NAACL

Probing Commonsense Explanation in Dialogue Response Generation EMNLP Findings

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP

Qinyuan Ye | Bill Yuchen Lin | Xiang Ren |

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation EMNLP

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms EMNLP

Learning to Generate Task-Specific Adapters from Task Description ACL IJCNLP

Qinyuan Ye | Xiang Ren |

On the Influence of Masking Policies in Intermediate Pre-training EMNLP

Learning Contextualized Knowledge Structures for Commonsense Reasoning Findings

Improving Counterfactual Generation for Fair Hate Speech Detection ACL IJCNLP WOAH

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge Findings

Do Language Models Perform Generalizable Commonsense Inference? Findings

Peifeng Wang | Filip Ilievski | Muhao Chen | Xiang Ren |

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding EMNLP Findings

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP

Discretized Integrated Gradients for Explaining Language Models EMNLP

Soumya Sanyal | Xiang Ren |

Commonsense-Focused Dialogues for Response Generation: An Empirical Study SIGDIAL

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP Findings

Xisen Jin | Bill Yuchen Lin | Mohammad Rostami | Xiang Ren |

Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning ACL IJCNLP

Bill Yuchen Lin | Seyeon Lee | Xiaoyang Qiao | Xiang Ren |

Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk EMNLP NLP4ConvAI

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation EMNLP

Mozhdeh Gheini | Xiang Ren | Jonathan May |

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL IJCNLP

ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning EMNLP

Rujun Han | Xiang Ren | Nanyun Peng |

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP

Using Word Embedding to Reveal Monetary Policy Explanation Changes ECONLP EMNLP

Akira Matsui | Xiang Ren | Emilio Ferrara |

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL IJCNLP

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL

Screenplay Quality Assessment: Can We Predict Who Gets Nominated? ACL NUSE WS

Ming-Chang Chiu | Tiantian Feng | Xiang Ren | Shrikanth Narayanan |

Contextualizing Hate Speech Classifiers with Post-hoc Explanation ACL

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL

Facet-Aware Evaluation for Extractive Summarization ACL

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs EMNLP

Woojeong Jin | Meng Qu | Xisen Jin | Xiang Ren |

Visually Grounded Continual Learning of Compositional Phrases EMNLP

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery EMNLP

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering EMNLP Findings

Teaching Machine Comprehension with Compositional Explanations EMNLP Findings

Qinyuan Ye | Xiao Huang | Elizabeth Boschee | Xiang Ren |

Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora EMNLP Findings