Furu Wei
256 papers · 2008–2026 · 18 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (35) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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(22)
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Keyword Trendsetter Combo
(14)
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Dynamic Duo
(79)
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Topic Pioneer
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(2)
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Deep Specialist
(41)
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Topic Evolution
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(15)
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Prolific Year
(15)
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Century Club
(251)
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Keyword Collector
(104)
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The Questioner
(6)
Conferences
ACL (79)
EMNLP (47)
ICLR (22)
IJCNLP (19)
NIPS (17)
AAAI (13)
COLING (12)
IJCAI (8)
NAACL (7)
ICML (6)
EACL (5)
CVPR (5)
AACL (5)
INTERSPEECH (5)
ECCV (2)
SEMEVAL (2)
ICCV (1)
JMLR (1)
Top co-authors
Research topics
Keywords
large language model
(28)
knowledge distillation
(21)
language model
(16)
text generation
(16)
zero-shot learning
(13)
neural network
(13)
transfer learning
(13)
cross-lingual transfer
(13)
multimodal learning
(12)
model compression
(12)
representation learning
(11)
attention mechanism
(11)
self-supervised learning
(11)
in-context learning
(9)
question answering
(9)
neural machine translation
(9)
transformer architecture
(9)
contrastive learning
(9)
extractive summarization
(8)
reinforcement learning
(8)
Papers
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
ACL 2026
VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation
ACL 2026
MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
ACL 2026
Reasoning with Exploration: An Entropy Perspective
AAAI 2026
Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations
ACL 2026
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
ACL 2025
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
ACL 2025
ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework
ACL 2025
Autoregressive Speech Synthesis without Vector Quantization
ACL 2025
Imagine While Reasoning in Space: Multimodal Visualization-of-Thought
ICML 2025
Scaling Optimal LR Across Token Horizons
ICLR 2025
K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning
NAACL 2025
Self-Boosting Large Language Models with Synthetic Preference Data
ICLR 2025
Data Selection via Optimal Control for Language Models
ICLR 2025
Differential Transformer
ICLR 2025
Preference Optimization for Reasoning with Pseudo Feedback
ICLR 2025
Generative Representational Instruction Tuning
ICLR 2025
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
ICLR 2025
Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
ICLR 2025
Rethinking DPO-style Diffusion Aligning Frameworks
ICCV 2025
NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning
EMNLP 2025
Textual Aesthetics in Large Language Models
EMNLP 2025
Little Giants: Synthesizing High-Quality Embedding Data at Scale
NAACL 2025
BitNet: 1-bit Pre-training for Large Language Models
JMLR 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning
EMNLP 2025
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
CVPR 2025
Context-DPO: Aligning Language Models for Context-Faithfulness
ACL 2025
ALYMPICS: LLM Agents Meet Game Theory
COLING 2025
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
ACL 2025
GeAR: Generation Augmented Retrieval
ACL 2025
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
ACL 2025
MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark
ACL 2025
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
ICLR 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
NIPS 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NIPS 2024
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
NIPS 2024
Multi-Head Mixture-of-Experts
NIPS 2024
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
NIPS 2024
Boosting Text-to-Video Generative Model with MLLMs Feedback
NIPS 2024
Learning to Rank in Generative Retrieval
AAAI 2024
Text Diffusion with Reinforced Conditioning
AAAI 2024
Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models
ACL 2024
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
ACL 2024
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
ACL 2024
Improving Text Embeddings with Large Language Models
ACL 2024
Se2: Sequential Example Selection for In-Context Learning
ACL 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
ACL 2024
SCALE: Synergized Collaboration of Asymmetric Language Translation Engines
ACL 2024
Calibrating LLM-Based Evaluator
COLING 2024
Language Models as Inductive Reasoners
EACL 2024
Learning to Retrieve In-Context Examples for Large Language Models
EACL 2024
Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation
EACL 2024
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering
ECCV 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval
EMNLP 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
EMNLP 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
EMNLP 2024
WavLLM: Towards Robust and Adaptive Speech Large Language Model
EMNLP 2024
In-context Autoencoder for Context Compression in a Large Language Model
ICLR 2024
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
ICLR 2024
Mixture of LoRA Experts
ICLR 2024
Adapting Large Language Models via Reading Comprehension
ICLR 2024
MiniLLM: Knowledge Distillation of Large Language Models
ICLR 2024
Grounding Multimodal Large Language Models to the World
ICLR 2024
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
ICML 2024
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
NAACL 2024
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
NAACL 2024
Low-code LLM: Graphical User Interface over Large Language Models
NAACL 2024
Query2doc: Query Expansion with Large Language Models
EMNLP 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
EMNLP 2023
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
ACL 2023
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
ACL 2023
Pre-Training to Learn in Context
ACL 2023
Multiview Identifiers Enhanced Generative Retrieval
ACL 2023
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator
ACL 2023
A Length-Extrapolatable Transformer
ACL 2023
Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning
ACL 2023
Pre-training Language Model as a Multi-perspective Course Learner
ACL 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
ACL 2023
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
ACL 2023
Language Is Not All You Need: Aligning Perception with Language Models
NIPS 2023
Magneto: A Foundation Transformer
ICML 2023
BEATs: Audio Pre-Training with Acoustic Tokenizers
ICML 2023
Augmenting Language Models with Long-Term Memory
NIPS 2023
TextDiffuser: Diffusion Models as Text Painters
NIPS 2023
On the Pareto Front of Multilingual Neural Machine Translation
NIPS 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization
NIPS 2023
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
ICLR 2023
Prototypical Calibration for Few-shot Learning of Language Models
ICLR 2023
Are More Layers Beneficial to Graph Transformers?
ICLR 2023
Visually-Augmented Language Modeling
ICLR 2023
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models
AAAI 2023
MoEC: Mixture of Expert Clusters
AAAI 2023
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks
CVPR 2023
Generic-to-Specific Distillation of Masked Autoencoders
CVPR 2023
Non-Contrastive Learning Meets Language-Image Pre-Training
CVPR 2023
Tuna: Instruction Tuning using Feedback from Large Language Models
EMNLP 2023
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
EMNLP 2023
Optimizing Prompts for Text-to-Image Generation
NIPS 2023
TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets
EMNLP 2023
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation
EMNLP 2023
Syllogistic Reasoning for Legal Judgment Analysis
EMNLP 2023
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
EMNLP 2023
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model
IJCAI 2022
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data
INTERSPEECH 2022
Snapshot-Guided Domain Adaptation for ELECTRA
EMNLP 2022
XDoc: Unified Pre-training for Cross-Format Document Understanding
EMNLP 2022
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation
EMNLP 2022
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
EMNLP 2022
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation
EMNLP 2022
Distilled Dual-Encoder Model for Vision-Language Understanding
EMNLP 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
EMNLP 2022
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training
EMNLP 2022
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
ACL 2022
StableMoE: Stable Routing Strategy for Mixture of Experts
ACL 2022
Knowledge Neurons in Pretrained Transformers
ACL 2022
Controllable Natural Language Generation with Contrastive Prefixes
ACL 2022
XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding
ACL 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
ACL 2022
On the Representation Collapse of Sparse Mixture of Experts
NIPS 2022
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
INTERSPEECH 2022
BEiT: BERT Pre-Training of Image Transformers
ICLR 2022
Plug and Play Knowledge Distillation for kNN-LM with External Logits
AACL 2022
Sequence Level Contrastive Learning for Text Summarization
AAAI 2022
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
NIPS 2022
Speech Pre-training with Acoustic Piece
INTERSPEECH 2022
Separating Long-Form Speech with Group-wise Permutation Invariant Training
INTERSPEECH 2022
Swin Transformer V2: Scaling Up Capacity and Resolution
CVPR 2022
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment
ACL 2022
Attention Temperature Matters in Abstractive Summarization Distillation
ACL 2022
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
ACL 2022
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
ACL 2022
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
ACL 2022
MarkupLM: Pre-training of Text and Markup Language for Visually Rich Document Understanding
ACL 2022
Plug and Play Knowledge Distillation for kNN-LM with External Logits
IJCNLP 2022
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training
INTERSPEECH 2022
High-resource Language-specific Training for Multilingual Neural Machine Translation
IJCAI 2022
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation
IJCAI 2022
Grammar-Based Patches Generation for Automated Program Repair
ACL 2021
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
ACL 2021
Memory-Efficient Differentiable Transformer Architecture Search
ACL 2021
Learning to Sample Replacements for ELECTRA Pre-Training
ACL 2021
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains
IJCNLP 2021
Grammar-Based Patches Generation for Automated Program Repair
IJCNLP 2021
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
IJCNLP 2021
Memory-Efficient Differentiable Transformer Architecture Search
IJCNLP 2021
Learning to Sample Replacements for ELECTRA Pre-Training
IJCNLP 2021
Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings
EACL 2021
Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
EMNLP 2021
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
EMNLP 2021
mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
EMNLP 2021
Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training
EMNLP 2021
LayoutReader: Pre-training of Text and Layout for Reading Order Detection
EMNLP 2021
Jointly Learning to Repair Code and Generate Commit Message
EMNLP 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
EMNLP 2021
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task
EMNLP 2021
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
NAACL 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
NAACL 2021
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
AAAI 2021
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
ICML 2021
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
IJCNLP 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
IJCNLP 2021
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
IJCNLP 2021
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation
IJCNLP 2021
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
IJCNLP 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
IJCNLP 2021
Multilingual Agreement for Multilingual Neural Machine Translation
IJCNLP 2021
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
ACL 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
ACL 2021
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
ACL 2021
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation
ACL 2021
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
ACL 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
ACL 2021
Multilingual Agreement for Multilingual Neural Machine Translation
ACL 2021
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains
ACL 2021
Cross-Lingual Natural Language Generation via Pre-Training
AAAI 2020
Can Monolingual Pretrained Models Help Cross-Lingual Classification?
AACL 2020
UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database
AACL 2020
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization
COLING 2020
Unsupervised Fine-tuning for Text Clustering
COLING 2020
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
AACL 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
ICML 2020
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
ICLR 2020
Self-Adversarial Learning with Comparative Discrimination for Text Generation
ICLR 2020
DocBank: A Benchmark Dataset for Document Layout Analysis
COLING 2020
Scheduled DropHead: A Regularization Method for Transformer Models
EMNLP 2020
Investigating Learning Dynamics of BERT Fine-Tuning
AACL 2020
Harvesting and Refining Question-Answer Pairs for Unsupervised QA
ACL 2020
Improving Grammatical Error Correction with Machine Translation Pairs
EMNLP 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
NIPS 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
ECCV 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
EMNLP 2020
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
EMNLP 2020
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
EMNLP 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit
NIPS 2020
Pre-training for Abstractive Document Summarization by Reinstating Source Text
EMNLP 2020
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
EMNLP 2020
Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training
AAAI 2020
Visualizing and Understanding the Effectiveness of BERT
EMNLP 2019
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study
ACL 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation
NIPS 2019
Response Generation by Context-Aware Prototype Editing
AAAI 2019
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
AAAI 2019
Dictionary-Guided Editing Networks for Paraphrase Generation
AAAI 2019
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
AAAI 2019
Video Dialog via Progressive Inference and Cross-Transformer
EMNLP 2019
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
ACL 2019
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension
EMNLP 2019
Video Dialog via Progressive Inference and Cross-Transformer
IJCNLP 2019
Visualizing and Understanding the Effectiveness of BERT
IJCNLP 2019
BERT-based Lexical Substitution
ACL 2019
Retrieval-Enhanced Adversarial Training for Neural Response Generation
ACL 2019
Learning to Ask Unanswerable Questions for Machine Reading Comprehension
ACL 2019
Attention-Fused Deep Matching Network for Natural Language Inference
IJCAI 2018
Multiway Attention Networks for Modeling Sentence Pairs
IJCAI 2018
Neural Latent Extractive Document Summarization
EMNLP 2018
Neural Open Information Extraction
ACL 2018
Neural Document Summarization by Jointly Learning to Score and Select Sentences
ACL 2018
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition
EMNLP 2018
Attention-Guided Answer Distillation for Machine Reading Comprehension
EMNLP 2018
Reinforced Mnemonic Reader for Machine Reading Comprehension
IJCAI 2018
Fluency Boost Learning and Inference for Neural Grammatical Error Correction
ACL 2018
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
ACL 2018
Entity Linking for Queries by Searching Wikipedia Sentences
EMNLP 2017
Learning to Generate Product Reviews from Attributes
EACL 2017
Selective Encoding for Abstractive Sentence Summarization
ACL 2017
Gated Self-Matching Networks for Reading Comprehension and Question Answering
ACL 2017
SuperAgent: A Customer Service Chatbot for E-commerce Websites
ACL 2017
AttSum: Joint Learning of Focusing and Summarization with Neural Attention
COLING 2016
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization
COLING 2016
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
IJCAI 2016
Solving and Generating Chinese Character Riddles
EMNLP 2016
A Dependency-Based Neural Network for Relation Classification
IJCNLP 2015
Question Answering over Freebase with Multi-Column Convolutional Neural Networks
ACL 2015
A Dependency-Based Neural Network for Relation Classification
ACL 2015
Learning Summary Prior Representation for Extractive Summarization
ACL 2015
Question Answering over Freebase with Multi-Column Convolutional Neural Networks
IJCNLP 2015
A Hybrid Neural Model for Type Classification of Entity Mentions
IJCAI 2015
Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
SEMEVAL 2015
Learning Summary Prior Representation for Extractive Summarization
IJCNLP 2015
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach
COLING 2014
A Joint Segmentation and Classification Framework for Sentiment Analysis
EMNLP 2014
Coooolll: A Deep Learning System for Twitter Sentiment Classification
SEMEVAL 2014
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
ACL 2014
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
ACL 2014
Entity Linking for Tweets
ACL 2013
QuickView: NLP-based Tweet Search
ACL 2012
Cross-Lingual Mixture Model for Sentiment Classification
ACL 2012
Graph-Based Multi-Tweet Summarization using Social Signals
COLING 2012
Joint Inference of Named Entity Recognition and Normalization for Tweets
ACL 2012
Twitter Topic Summarization by Ranking Tweets using Social Influence and Content Quality
COLING 2012
Lost in Translations? Building Sentiment Lexicons using Context Based Machine Translation
COLING 2012
Recognizing Named Entities in Tweets
ACL 2011
Co-Feedback Ranking for Query-Focused Summarization
IJCNLP 2009
Co-Feedback Ranking for Query-Focused Summarization
ACL 2009
PNR2: Ranking Sentences with Positive and Negative Reinforcement for Query-Oriented Update Summarization
COLING 2008
A Novel Feature-based Approach to Chinese Entity Relation Extraction
ACL 2008