← Authors

Jianfeng Gao

267 papers · 2000–2025 · 16 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (22) 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (25) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (12) 🏠 Conference Loyalist (24) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (60) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (29) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (24) πŸš€ Conference Pioneer πŸ’Ž Century Club (267) πŸ—ƒοΈ Keyword Collector (674) ❓ The Questioner (3) ⚑ Prolific Year (23)

Conferences

ACL (52) EMNLP (51) NAACL (26) ICLR (25) NIPS (24) IJCNLP (23) CVPR (21) AAAI (11) ICML (9) COLING (7) ECCV (5) CONLL (3) EACL (3) ICCV (3) INTERSPEECH (3) IJCAI (1)

Top co-authors

Xiaodong Liu (60) Michel Galley (34) Chunyuan Li (33) Jianwei Yang (29) Hao Cheng (29) Baolin Peng (28) Xiaodong He (21) Pengcheng He (21) Xiujun Li (21) Bill Dolan (20)

Keywords

dialogue system (17) large language model (15) reinforcement learning (15) transfer learning (14) few-shot learning (13) zero-shot learning (13) language model (12) neural network (12) question answering (11) pre-trained language model (11) text generation (10) object detection (10) natural language understanding (10) image captioning (9) multi-task learning (9) vision-language model (8) response generation (8) dialogue policy (8) multimodal learning (7) visual question answering (7)

Papers

Matryoshka Multimodal Models ICLR 2025
Latent Action Pretraining from Videos ICLR 2025
Vector-ICL: In-context Learning with Continuous Vector Representations ICLR 2025
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies ICLR 2025
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention ICML 2025
CollabLLM: From Passive Responders to Active Collaborators ICML 2025
Simplifying DINO via Coding Rate Regularization ICML 2025
SimulatorArena: Are User Simulators Reliable Proxies for Multi-Turn Evaluation of AI Assistants? EMNLP 2025
SITE: towards Spatial Intelligence Thorough Evaluation ICCV 2025
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025
Magma: A Foundation Model for Multimodal AI Agents CVPR 2025
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion CVPR 2025
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities NAACL 2025
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts ACL 2025
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass ICLR 2025
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning ICLR 2025
SCBench: A KV Cache-Centric Analysis of Long-Context Methods ICLR 2025
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents ICLR 2025
DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs NIPS 2024
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations NIPS 2024
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions NIPS 2024
Teaching Language Models to Self-Improve through Interactive Demonstrations NAACL 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Fast-ELECTRA for Efficient Pre-training ICLR 2024
Is Self-Repair a Silver Bullet for Code Generation? ICLR 2024
MindAgent: Emergent Gaming Interaction NAACL 2024
Visual In-Context Prompting CVPR 2024
Toward Compositional Behavior in Neural Models: A Survey of Current Views EMNLP 2024
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading EMNLP 2024
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models NAACL 2024
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts ICLR 2024
Pix2Gif: Motion-Guided Diffusion for GIF Generation ECCV 2024
Segment and Recognize Anything at Any Granularity ECCV 2024
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents ECCV 2024
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models ECCV 2024
Language Models as Inductive Reasoners EACL 2024
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs ICLR 2024
Interactive Text Generation EMNLP 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models NIPS 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Segment Everything Everywhere All at Once NIPS 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day NIPS 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models NIPS 2023
Guiding Large Language Models via Directional Stimulus Prompting NIPS 2023
Augmenting Language Models with Long-Term Memory NIPS 2023
Differentiable Tree Operations Promote Compositional Generalization ICML 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization ACL 2023
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering ACL 2023
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization ACL 2023
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers ACL 2023
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering ACL 2023
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models ACL 2023
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation ACL 2023
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions ICLR 2023
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing ICLR 2023
Visually-Augmented Language Modeling ICLR 2023
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ICLR 2023
Explaining Data Patterns in Natural Language with Language Models EMNLP 2023
Learning Customized Visual Models With Retrieval-Augmented Knowledge CVPR 2023
GLIGEN: Open-Set Grounded Text-to-Image Generation CVPR 2023
Generalized Decoding for Pixel, Image, and Language CVPR 2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding EMNLP 2023
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format EMNLP 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning EMNLP 2023
Focal Modulation Networks NIPS 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models NIPS 2022
Fault-Aware Neural Code Rankers NIPS 2022
Open Domain Question Answering with A Unified Knowledge Interface ACL 2022
WebQA: Multihop and Multimodal QA CVPR 2022
Unified Contrastive Learning in Image-Text-Label Space CVPR 2022
Knowledge-Rich Self-Supervision for Biomedical Entity Linking EMNLP 2022
CodeExp: Explanatory Code Document Generation EMNLP 2022
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge EMNLP 2022
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation EMNLP 2022
GLIPv2: Unifying Localization and Vision-Language Understanding NIPS 2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022
Taming Sparsely Activated Transformer with Stochastic Experts ICLR 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022
Efficient Self-supervised Vision Transformers for Representation Learning ICLR 2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone NIPS 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NIPS 2022
K-LITE: Learning Transferable Visual Models with External Knowledge NIPS 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention IJCAI 2022
Grounded Language-Image Pre-Training CVPR 2022
RegionCLIP: Region-Based Language-Image Pretraining CVPR 2022
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation NAACL 2022
KAT: A Knowledge Augmented Transformer for Vision-and-Language NAACL 2022
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling AAAI 2022
ValueNet: A New Dataset for Human Value Driven Dialogue System AAAI 2022
Reader-Guided Passage Reranking for Open-Domain Question Answering IJCNLP 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization IJCNLP 2021
Data Augmentation for Spoken Language Understanding via Pretrained Language Models INTERSPEECH 2021
DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION ICLR 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 2021
TACo: Token-Aware Cascade Contrastive Learning for Video-Text Alignment ICCV 2021
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding ICCV 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021
HittER: Hierarchical Transformers for Knowledge Graph Embeddings EMNLP 2021
Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL 2021
Generation-Augmented Retrieval for Open-Domain Question Answering ACL 2021
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems ACL 2021
EmailSum: Abstractive Email Thread Summarization ACL 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering ACL 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization ACL 2021
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization NAACL 2021
Text Editing by Command NAACL 2021
VinVL: Revisiting Visual Representations in Vision-Language Models CVPR 2021
Targeted Adversarial Training for Natural Language Understanding NAACL 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering IJCNLP 2021
Generation-Augmented Retrieval for Open-Domain Question Answering IJCNLP 2021
Token-wise Curriculum Learning for Neural Machine Translation EMNLP 2021
ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021
A Controllable Model of Grounded Response Generation AAAI 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning AAAI 2021
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems IJCNLP 2021
NICE: Neural Image Commenting with Empathy EMNLP 2021
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NIPS 2021
Contrastive Multi-document Question Generation EACL 2021
Focal Attention for Long-Range Interactions in Vision Transformers NIPS 2021
EmailSum: Abstractive Email Thread Summarization IJCNLP 2021
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020
PIQA: Reasoning about Physical Commonsense in Natural Language AAAI 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020
Complementary Auxiliary Classifiers for Label-Conditional Text Generation AAAI 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA AAAI 2020
MIND: A Large-scale Dataset for News Recommendation ACL 2020
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems ACL 2020
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation ACL 2020
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems ACL 2020
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training CVPR 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks ECCV 2020
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking EMNLP 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space EMNLP 2020
Understanding the Difficulty of Training Transformers EMNLP 2020
Few-shot Natural Language Generation for Task-Oriented Dialog EMNLP 2020
RMM: A Recursive Mental Model for Dialogue Navigation EMNLP 2020
Guided Dialogue Policy Learning without Adversarial Learning in the Loop EMNLP 2020
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering ICLR 2020
On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training ICML 2020
Mapping natural-language problems to formal-language solutions using structured neural representations ICML 2020
Feature Quantization Improves GAN Training ICML 2020
Towards Coherent and Cohesive Long-form Text Generation NAACL 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL 2019
ConvLab: Multi-Domain End-to-End Dialog System Platform ACL 2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation EMNLP 2019
Structuring Latent Spaces for Stylized Response Generation EMNLP 2019
Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP 2019
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning EMNLP 2019
Implicit Deep Latent Variable Models for Text Generation EMNLP 2019
Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning AAAI 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation NIPS 2019
A Hybrid Neural Network Model for Commonsense Reasoning EMNLP 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019
Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019
Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ACL 2019
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ACL 2019
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain ACL 2019
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension NAACL 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation NAACL 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning NAACL 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL 2019
Implicit Deep Latent Variable Models for Text Generation IJCNLP 2019
Adversarial Domain Adaptation for Machine Reading Comprehension IJCNLP 2019
TIGEr: Text-to-Image Grounding for Image Caption Evaluation IJCNLP 2019
Structuring Latent Spaces for Stylized Response Generation IJCNLP 2019
Robust Navigation with Language Pretraining and Stochastic Sampling IJCNLP 2019
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning IJCNLP 2019
Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation CVPR 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization CVPR 2019
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning EMNLP 2018
Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NIPS 2018
Language-Based Image Editing With Recurrent Attentive Models CVPR 2018
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NIPS 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search NIPS 2018
Stochastic Answer Networks for Machine Reading Comprehension ACL 2018
Discourse-Aware Neural Rewards for Coherent Text Generation NAACL 2018
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning ACL 2018
Neural Approaches to Conversational AI ACL 2018
End-to-End Task-Completion Neural Dialogue Systems IJCNLP 2017
Semantic Compositional Networks for Visual Captioning CVPR 2017
StyleNet: Generating Attractive Visual Captions With Styles CVPR 2017
A Nested Attention Neural Hybrid Model for Grammatical Error Correction ACL 2017
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation IJCNLP 2017
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models IJCNLP 2017
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP 2017
Open-Domain Neural Dialogue Systems IJCNLP 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding INTERSPEECH 2016
Deep Reinforcement Learning for Dialogue Generation EMNLP 2016
Deep Reinforcement Learning with a Natural Language Action Space ACL 2016
A Persona-Based Neural Conversation Model ACL 2016
Bi-directional Attention with Agreement for Dependency Parsing EMNLP 2016
Stacked Attention Networks for Image Question Answering CVPR 2016
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads EMNLP 2016
A Diversity-Promoting Objective Function for Neural Conversation Models NAACL 2016
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM INTERSPEECH 2016
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base ACL 2015
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base IJCNLP 2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets IJCNLP 2015
Deep Learning and Continuous Representations for Natural Language Processing NAACL 2015
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval NAACL 2015
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses NAACL 2015
From Captions to Visual Concepts and Back CVPR 2015
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ACL 2015
Large-scale Expected BLEU Training of Phrase-based Reordering Models EMNLP 2014
Learning Continuous Phrase Representations for Translation Modeling ACL 2014
Minimum Translation Modeling with Recurrent Neural Networks EACL 2014
Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models ACL 2014
Modeling Interestingness with Deep Neural Networks EMNLP 2014
Training MRF-Based Phrase Translation Models using Gradient Ascent NAACL 2013
Beyond Left-to-Right: Multiple Decomposition Structures for SMT NAACL 2013
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction EMNLP 2012
Learning Lexicon Models from Search Logs for Query Expansion CONLL 2012
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction CONLL 2012
Learning Lexicon Models from Search Logs for Query Expansion EMNLP 2012
MSR SPLAT, a language analysis toolkit NAACL 2012
Domain Adaptation via Pseudo In-Domain Data Selection EMNLP 2011
A Large Scale Ranker-Based System for Search Query Spelling Correction COLING 2010
Learning Phrase-Based Spelling Error Models from Clickthrough Data ACL 2010
A comparison of unsupervised methods for Part-of-Speech Tagging in Chinese COLING 2010
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking EMNLP 2009
Discovery of Term Variation in Japanese Web Search Queries EMNLP 2009
A Web-based English Proofing System for English as a Second Language Users IJCNLP 2008
Using Contextual Speller Techniques and Language Modeling for ESL Error Correction IJCNLP 2008
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems EMNLP 2008
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers EMNLP 2008
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation COLING 2008
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing ACL 2007
Compressing Trigram Language Models With Golomb Coding EMNLP 2007
Compressing Trigram Language Models With Golomb Coding CONLL 2007
Approximation Lasso Methods for Language Modeling COLING 2006
A DOM Tree Alignment Model for Mining Parallel Data from the Web ACL 2006
An Information-Theoretic Approach to Automatic Evaluation of Summaries NAACL 2006
Approximation Lasso Methods for Language Modeling ACL 2006
A DOM Tree Alignment Model for Mining Parallel Data from the Web COLING 2006
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity IJCNLP 2005
Transformation Based Chinese Entity Detection and Tracking IJCNLP 2005
A Comparative Study on Language Model Adaptation Techniques Using New Evaluation Metrics EMNLP 2005
Minimum Sample Risk Methods for Language Modeling EMNLP 2005
Adaptive Chinese Word Segmentation ACL 2004
Unsupervised Learning of Dependency Structure for Language Modeling ACL 2003
Improved Source-Channel Models for Chinese Word Segmentation ACL 2003
Exploring Asymmetric Clustering for Statistical Language Modeling ACL 2002
Improving Language Model Size Reduction using Better Pruning Criteria ACL 2002
Exploiting Headword Dependency and Predictive Clustering for Language Modeling EMNLP 2002
Chinese Named Entity Identification Using Class-based Language Model COLING 2002
Distribution-Based Pruning of Backoff Language Models ACL 2000
PENS: A Machine-aided English Writing System for Chinese Users ACL 2000
Extraction of Chinese Compound Words - An Experimental Study on a Very Large Corpus ACL 2000