Jian Guo
29 papers · 2020–2026 · 12 conferences · across top CS/AI conferences
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Conferences
EMNLP (6)
ICLR (4)
ACL (3)
NAACL (3)
NIPS (3)
AAAI (2)
COLING (2)
IJCAI (2)
CVPR (1)
EACL (1)
ICCV (1)
JMLR (1)
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Keywords
large language model
(9)
chain-of-thought reasoning
(2)
multimodal learning
(2)
knowledge graph completion
(2)
contrastive learning
(2)
dense retrieval
(2)
retrieval-augmented generation
(2)
knowledge graph
(2)
entity alignment
(2)
deep reinforcement learning
(2)
negative sampling
(2)
knowledge enhancement
(2)
transfer learning
(2)
synthetic data generation
(2)
reinforcement learning
(2)
object detection
(1)
natural language processing
(1)
few-shot learning
(1)
sentiment analysis
(1)
computer vision
(1)
Papers
DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis
ACL 2026
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
EACL 2026
BAG: Benchmarking Anomaly Detection on Dynamic Graphs
AAAI 2026
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
EMNLP 2025
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
AAAI 2025
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
ACL 2025
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
EMNLP 2025
VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
EMNLP 2025
ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
ICCV 2025
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
ICLR 2025
Rationalizing and Augmenting Dynamic Graph Neural Networks
ICLR 2025
ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
ICLR 2025
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
NAACL 2025
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
NAACL 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
NAACL 2024
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
ICLR 2024
Unlocking the Power of Large Language Models for Entity Alignment
ACL 2024
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
IJCAI 2024
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
COLING 2024
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval
COLING 2024
MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment
EMNLP 2024
Noisy Pair Corrector for Dense Retrieval
EMNLP 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
NIPS 2023
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
NIPS 2022
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
CVPR 2022
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
EMNLP 2022
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
NIPS 2022
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
IJCAI 2020