NLPExplorer

Wangchunshu Zhou

Number of Papers:- 32

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

EMNLP

Findings

ACL

EACL

WMT

IJCNLP

Co-Authors:-

Similar Authors:-

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? NAACL

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models F i n d i n g s - A C L

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models F i n d i n g s - A C L

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild F i n d i n g s - A C L

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL

MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications EMNLP

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness F i n d i n g s - E M N L P

Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference EACL

Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies WMT

Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models F i n d i n g s - E M N L P

Ruida Wang | Wangchunshu Zhou | Mrinmaya Sachan |

Evaluating Large Language Models on Controlled Generation Tasks EMNLP

EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning F i n d i n g s - A C L

Tiannan Wang | Wangchunshu Zhou | Yan Zeng | Xinsong Zhang |

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training ACL

Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description F i n d i n g s - A C L

Wangchunshu Zhou | Qifei Li | Chenle Li |

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP

Commonsense Knowledge Transfer for Pre-trained Language Models F i n d i n g s - A C L

Wangchunshu Zhou | Ronan Le Bras | Yejin Choi |

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference F i n d i n g s - A C L

Wangchunshu Zhou | Ronan Le Bras | Yejin Choi |

Wangchunshu Zhou

Number of Papers:- 32

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? NAACL

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models F i n d i n g s - A C L

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models F i n d i n g s - A C L

LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild F i n d i n g s - A C L

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL

MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications EMNLP

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness F i n d i n g s - E M N L P

Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference EACL

Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies WMT

Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models F i n d i n g s - E M N L P

Evaluating Large Language Models on Controlled Generation Tasks EMNLP

EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning F i n d i n g s - A C L

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training ACL

Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description F i n d i n g s - A C L

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP

Commonsense Knowledge Transfer for Pre-trained Language Models F i n d i n g s - A C L

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference F i n d i n g s - A C L

Doolittle: Benchmarks and Corpora for Academic Writing Formalization EMNLP

BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL

Contextual Representation Learning beyond Masked Language Modeling ACL

Efficiently Tuned Parameters Are Task Embeddings EMNLP

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

Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training ACL IJCNLP

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

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting EMNLP

Connecting the Dots Between Fact Verification and Fake News Detection COLING

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing EMNLP

Improving Grammatical Error Correction with Machine Translation Pairs EMNLP Findings

Pseudo-Bidirectional Decoding for Local Sequence Transduction EMNLP Findings

Scheduled DropHead: A Regularization Method for Transformer Models EMNLP Findings

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP Findings

BERT-based Lexical Substitution ACL