Yongbin Li
92 papers · 2017–2026 · 13 venues · across top CS/AI venues
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Artificial Intelligence
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Natural Language Processing
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Core AI
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Machine Learning
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Deep Learning
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Learning Types Β· Machine Learning
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Generation
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large language model
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dialogue system
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few-shot learning
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multimodal learning
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task-oriented dialogue
(5)
contrastive learning
(5)
reinforcement learning
(5)
retrieval-augmented generation
(5)
multi-task learning
(5)
language model
(5)
text-to-sql parsing
(4)
instruction following
(4)
attention mechanism
(4)
semantic parsing
(4)
code generation
(4)
policy optimization
(4)
model alignment
(4)
question answering
(4)
direct preference optimization
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semi-supervised learning
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Papers
Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
ACL 2026
Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
ACL 2026
EvoRoute: Experience-Driven Self-Routing LLM Agent Systems
ACL 2026
Large Language Model Unlearning for Source Code
AAAI 2026
MOA: Multi-Objective Alignment for Role-Playing Agents
ACL 2026
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
ACL 2026
RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
OSDI 2026
Selective Weak-to-Strong Generalization
AAAI 2026
CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy Optimization
EMNLP 2025
Debate Helps Weak-to-Strong Generalization
AAAI 2025
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
ACL 2025
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
ACL 2025
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
EMNLP 2025
EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
ACL 2025
ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration
ACL 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
ACL 2025
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
ACL 2025
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction
ACL 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025
Reverse Preference Optimization for Complex Instruction Following
ACL 2025
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
ICLR 2025
SDPO: Segment-Level Direct Preference Optimization for Social Agents
ACL 2025
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
ICLR 2025
Supervised Optimism Correction: Be Confident When LLMs Are Sure
ACL 2025
Transferable Post-training via Inverse Value Learning
NAACL 2025
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
CVPR 2024
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
ACL 2024
Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning
NAACL 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NeurIPS 2024
Fine-Tuning Language Models with Reward Learning on Policy
NAACL 2024
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
EMNLP 2024
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
ACL 2024
How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States
EMNLP 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
EMNLP 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
ICML 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
EMNLP 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models
ACL 2024
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
COLING 2024
Preference Ranking Optimization for Human Alignment
AAAI 2024
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
COLING 2024
Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models
COLING 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NeurIPS 2024
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
CVPR 2024
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
ACL 2024
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
COLING 2024
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt
COLING 2024
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
EMNLP 2023
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
NeurIPS 2023
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality
ACL 2023
Causal Document-Grounded Dialogue Pre-training
EMNLP 2023
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
EMNLP 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer
EMNLP 2023
Domain Incremental Lifelong Learning in an Open World
ACL 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
EMNLP 2023
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
AAAI 2023
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling
ACL 2023
Improving Question Generation with Multi-level Content Planning
EMNLP 2023
Long-Tailed Question Answering in an Open World
ACL 2023
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark
ACL 2023
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
ACL 2023
Plan-then-Seam: Towards Efficient Table-to-Text Generation
EACL 2023
Sequence Parallelism: Long Sequence Training from System Perspective
ACL 2023
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
ACL 2023
SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents
NeurIPS 2023
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph
AAAI 2023
Unified Language Representation for Question Answering over Text, Tables, and Images
ACL 2023
Universal Information Extraction with Meta-Pretrained Self-Retrieval
ACL 2023
A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots
ACL 2022
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
EMNLP 2022
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
EMNLP 2022
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
EMNLP 2022
Estimating Soft Labels for Out-of-Domain Intent Detection
EMNLP 2022
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection
AAAI 2022
Graph-to-Text Generation with Dynamic Structure Pruning
COLING 2022
S2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers
ACL 2022
Semi-Supervised Lifelong Language Learning
EMNLP 2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
COLING 2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
EMNLP 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
COLING 2022
Towards Generalizable and Robust Text-to-SQL Parsing
EMNLP 2022
Towards Generalized Open Information Extraction
EMNLP 2022
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
EMNLP 2022
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
AAAI 2021
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking
ACL 2021
Dynamic Memory Induction Networks for Few-Shot Text Classification
ACL 2020
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment
ACL 2020
Induction Networks for Few-Shot Text Classification
EMNLP 2019
Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models
SemEval 2018
Lyb3b at SemEval-2018 Task 12: Ensemble-based Deep Learning Models for Argument Reasoning Comprehension Task
SemEval 2018
YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations
IJCNLP 2017