Bing Yin
55 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
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Conferences
EMNLP (15)
ACL (12)
NAACL (8)
AAAI (6)
NIPS (4)
CVPR (2)
ECCV (2)
ICCV (1)
ICLR (1)
ICML (1)
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INTERSPEECH (1)
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Keywords
large language model
(14)
question answering
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few-shot learning
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reinforcement learning
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knowledge distillation
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instruction following
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graph neural network
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multimodal learning
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language model
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direct preference optimization
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benchmark evaluation
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transformer architecture
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named entity recognition
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text generation
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zero-shot learning
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multilingual nlp
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multi-task learning
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video generation
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self-supervised learning
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curriculum learning
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Papers
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation
AAAI 2026
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
ACL 2026
Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space
AAAI 2026
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation
AAAI 2026
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
AAAI 2026
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
ACL 2026
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
ACL 2025
M-LLM Based Video Frame Selection for Efficient Video Understanding
CVPR 2025
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
CVPR 2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP 2025
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios
NAACL 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
EMNLP 2025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
EMNLP 2025
Cross-modulated Attention Transformer for RGBT Tracking
AAAI 2025
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
EMNLP 2025
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
EMNLP 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
NIPS 2024
Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network
AAAI 2024
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition
ECCV 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding
EMNLP 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
EMNLP 2024
Data Diversity Matters for Robust Instruction Tuning
EMNLP 2024
Evolutionary Contrastive Distillation for Language Model Alignment
EMNLP 2024
MEMORYLLM: Towards Self-Updatable Large Language Models
ICML 2024
1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking
IJCAI 2024
Knowledge-Selective Pretraining for Attribute Value Extraction
EMNLP 2023
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation
ICCV 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
ICLR 2023
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
NIPS 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NIPS 2023
Graph Reasoning for Question Answering with Triplet Retrieval
ACL 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
ACL 2023
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
ACL 2023
Context-Aware Query Rewriting for Improving Usersβ Search Experience on E-commerce Websites
ACL 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
ACL 2023
Improving Consistency for Text Summarization with Energy Functions
EMNLP 2023
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
NAACL 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
ACL 2022
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
NAACL 2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
NAACL 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
NIPS 2022
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition
ECCV 2022
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
NAACL 2021
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision
EMNLP 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
ACL 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
IJCNLP 2021
Graph-based Multilingual Product Retrieval in E-Commerce Search
NAACL 2021
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages
EMNLP 2020
Speaker Diarization with Enhancing Speech for the First DIHARD Challenge
INTERSPEECH 2018