← Authors

Pengfei Liu

107 papers · 2014–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🏠 Conference Loyalist (28) 🌟 Keyword Trendsetter Combo (4) πŸ† Grand Slam πŸ† Keyword Champion (2) 🀝 Dynamic Duo (24) πŸ‘₯ Mega-Team (35) πŸ”¬ Deep Specialist (18) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (362) πŸ’Ž Century Club (105) πŸ”₯ Unstoppable (7) ❓ The Questioner (9)

Conferences

ACL (28) EMNLP (28) AAAI (11) NAACL (11) NIPS (7) IJCAI (5) IJCNLP (5) ICLR (3) ICML (3) INTERSPEECH (2) COLING (1) EACL (1) ECCV (1) SEMEVAL (1)

Top co-authors

Xipeng Qiu (24) Xuanjing Huang (23) Graham Neubig (20) Jinlan Fu (14) Yixin Liu (13) Weizhe Yuan (9) Shichao Sun (8) Yang Xiao (7) Xuefeng Li (6) Shuaichen Chang (5)

Keywords

large language model (23) neural network (11) text generation (10) language model (8) text summarization (8) transfer learning (6) abstractive summarization (6) named entity recognition (6) sequence labeling (6) model evaluation (5) extractive summarization (5) graph neural network (5) zero-shot learning (5) text classification (5) fine-grained evaluation (4) benchmark evaluation (4) mathematical reasoning (4) contrastive learning (4) multi-task learning (4) natural language generation (4)

Papers

Efficient Preference Alignment via Pareto Exploration (Student Abstract) AAAI 2026
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling AAAI 2026
Evaluating Mathematical Reasoning Beyond Accuracy AAAI 2025
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale ICML 2025
Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States ACL 2025
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance ICML 2025
Progress or Regress? Self-Improvement Reversal in Post-training ICLR 2025
Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model ICLR 2025
Understanding Reference Policies in Direct Preference Optimization NAACL 2025
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments EMNLP 2025
DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025
RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance AAAI 2025
OpenResearcher: Unleashing AI for Accelerated Scientific Research EMNLP 2024
ECON: On the Detection and Resolution of Evidence Conflicts EMNLP 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs EMNLP 2024
Knowledge-Centric Hallucination Detection EMNLP 2024
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI NIPS 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation NIPS 2024
MathPile: A Billion-Token-Scale Pretraining Corpus for Math NIPS 2024
Alignment for Honesty NIPS 2024
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation ACL 2024
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation ACL 2024
Dissecting Human and LLM Preferences ACL 2024
Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization ACL 2024
LLMCrit: Teaching Large Language Models to Use Criteria ACL 2024
The Critique of Critique ACL 2024
InFoBench: Evaluating Instruction Following Ability in Large Language Models ACL 2024
Data Contamination Report from the 2024 CONDA Shared Task ACL 2024
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization NAACL 2024
On Learning to Summarize with Large Language Models as References NAACL 2024
GPTScore: Evaluate as You Desire NAACL 2024
Generative Judge for Evaluating Alignment ICLR 2024
Weak-to-Strong Reasoning EMNLP 2024
SAFETY-J: Evaluating Safety with Critique EMNLP 2024
Reformatted Alignment EMNLP 2024
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics EMNLP 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models NIPS 2023
LIMA: Less Is More for Alignment NIPS 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation ACL 2023
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ACL 2023
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning ACL 2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning ACL 2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing EMNLP 2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation EMNLP 2023
LLM-driven Instruction Following: Progresses and Concerns EMNLP 2023
PAL: Program-aided Language Models ICML 2023
PunCantonese: A Benchmark Corpus for Low-Resource Cantonese Punctuation Restoration from Speech Transcripts INTERSPEECH 2023
BRIO: Bringing Order to Abstractive Summarization ACL 2022
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models EMNLP 2022
IΒ²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation IJCAI 2022
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification NAACL 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation EMNLP 2022
Polyglot Prompt: Multilingual Multitask Prompt Training EMNLP 2022
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training AAAI 2022
DataLab: A Platform for Data Analysis and Intervention ACL 2022
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction IJCNLP 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization IJCNLP 2021
ExplainaBoard: An Explainable Leaderboard for NLP IJCNLP 2021
How well do you know your summarization datasets? IJCNLP 2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation EMNLP 2021
Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization EMNLP 2021
BARTScore: Evaluating Generated Text as Text Generation NIPS 2021
How well do you know your summarization datasets? ACL 2021
ExplainaBoard: An Explainable Leaderboard for NLP ACL 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization ACL 2021
SpanNER: Named Entity Re-/Recognition as Span Prediction ACL 2021
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction ACL 2021
Towards More Fine-grained and Reliable NLP Performance Prediction EACL 2021
GSum: A General Framework for Guided Neural Abstractive Summarization NAACL 2021
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa NAACL 2021
Larger-Context Tagging: When and Why Does It Work? NAACL 2021
RefSum: Refactoring Neural Summarization NAACL 2021
SpanNER: Named Entity Re-/Recognition as Span Prediction IJCNLP 2021
Extractive Summarization as Text Matching ACL 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020
Zero-Shot Text-to-SQL Learning with Auxiliary Task AAAI 2020
Multi-Scale Self-Attention for Text Classification AAAI 2020
Group Gated Fusion on Attention-Based Bidirectional Alignment for Multimodal Emotion Recognition INTERSPEECH 2020
Re-evaluating Evaluation in Text Summarization EMNLP 2020
Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics COLING 2020
Learning Sparse Sharing Architectures for Multiple Tasks AAAI 2020
Interpretable Multi-dataset Evaluation for Named Entity Recognition EMNLP 2020
RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving ECCV 2020
Heterogeneous Graph Neural Networks for Extractive Document Summarization ACL 2020
Learning Multi-Task Communication with Message Passing for Sequence Learning AAAI 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019
TIGS: An Inference Algorithm for Text Infilling with Gradient Search ACL 2019
Searching for Effective Neural Extractive Summarization: What Works and What’s Next ACL 2019
Contextualized Non-Local Neural Networks for Sequence Learning AAAI 2019
Star-Transformer NAACL 2019
Idiom-Aware Compositional Distributed Semantics EMNLP 2017
Dynamic Compositional Neural Networks over Tree Structure IJCAI 2017
Adaptive Semantic Compositionality for Sentence Modelling IJCAI 2017
Adversarial Multi-task Learning for Text Classification ACL 2017
Deep Multi-Task Learning with Shared Memory for Text Classification EMNLP 2016
Deep Fusion LSTMs for Text Semantic Matching ACL 2016
Modelling Interaction of Sentence Pair with Coupled-LSTMs EMNLP 2016
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network ACL 2016
Recurrent Neural Network for Text Classification with Multi-Task Learning IJCAI 2016
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings EMNLP 2015
Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model IJCAI 2015
Long Short-Term Memory Neural Networks for Chinese Word Segmentation EMNLP 2015
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents EMNLP 2015
SeemGo: Conditional Random Fields Labeling and Maximum Entropy Classification for Aspect Based Sentiment Analysis SEMEVAL 2014