Xiaocheng Feng
75 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (8)
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Keyword Pioneer
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Hot Topic Early Bird
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Academic Marathon
(9)
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Conference Loyalist
(21)
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Dynamic Duo
(57)
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Topic Pioneer
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Deep Specialist
(12)
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Topic Evolution
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(5)
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(12)
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Century Club
(63)
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(10)
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Keyword Collector
(309)
Conferences
ACL (25)
EMNLP (21)
AAAI (11)
COLING (7)
IJCAI (5)
IJCNLP (3)
NIPS (2)
CVPR (1)
Top co-authors
Research topics
Keywords
large language model
(20)
vision-language model
(7)
neural network
(7)
attention mechanism
(6)
cross-lingual transfer
(5)
hallucination mitigation
(5)
knowledge distillation
(5)
table-to-text generation
(4)
dialogue summarization
(4)
reinforcement learning
(4)
low-resource language
(4)
machine translation
(4)
text summarization
(3)
sequence-to-sequence model
(3)
pre-trained language model
(3)
pre-trained model
(3)
representation learning
(3)
text generation
(3)
neural machine translation
(3)
knowledge base
(3)
Papers
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
ACL 2026
Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
ACL 2026
ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
ACL 2026
Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
ACL 2026
Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
ACL 2026
Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
ACL 2026
Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
ACL 2026
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning
AAAI 2026
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
AAAI 2026
The Visual Prism: Refracting Images into Parallel Multilingual Descriptions with Structured Visual Guidance
AAAI 2026
CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation
AAAI 2026
Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
AAAI 2026
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning
ACL 2025
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
ACL 2025
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
EMNLP 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
EMNLP 2025
Probing and Boosting Large Language Models Capabilities via Attention Heads
EMNLP 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
EMNLP 2025
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
AAAI 2025
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
COLING 2025
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment
COLING 2025
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
CVPR 2025
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
EMNLP 2025
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
AAAI 2025
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
AAAI 2025
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
ACL 2025
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
ACL 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
NIPS 2024
Discrete Modeling via Boundary Conditional Diffusion Processes
NIPS 2024
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
ACL 2024
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
ACL 2024
Learning Fine-Grained Grounded Citations for Attributed Large Language Models
ACL 2024
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation
COLING 2024
Advancing Large Language Model Attribution through Self-Improving
EMNLP 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models
EMNLP 2024
Extending Context Window of Large Language Models from a Distributional Perspective
EMNLP 2024
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
EMNLP 2024
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
EMNLP 2024
SCIR-MTβs Submission for WMT24 General Machine Translation Task
EMNLP 2024
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training
AAAI 2023
Hierarchical Catalogue Generation for Literature Review: A Benchmark
EMNLP 2023
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations
EMNLP 2023
Towards Higher Pareto Frontier in Multilingual Machine Translation
ACL 2023
Controllable Text Generation via Probability Density Estimation in the Latent Space
ACL 2023
Improved Visual Story Generation with Adaptive Context Modeling
ACL 2023
Unifying the Convergences in Multilingual Neural Machine Translation
EMNLP 2022
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
IJCAI 2022
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization
ACL 2022
Improving Controllable Text Generation with Position-Aware Weighted Decoding
ACL 2022
A Distributional Lens for Multi-Aspect Controllable Text Generation
EMNLP 2022
Learning to Rewrite for Non-Autoregressive Neural Machine Translation
EMNLP 2021
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization
IJCAI 2021
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
ACL 2021
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
IJCNLP 2021
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
AAAI 2020
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
AAAI 2020
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification
EMNLP 2020
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching
COLING 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
EMNLP 2020
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge
EMNLP 2019
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge
IJCNLP 2019
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
IJCNLP 2019
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)
EMNLP 2019
Semantic Parsing with Syntax- and Table-Aware SQL Generation
ACL 2018
Topic-to-Essay Generation with Neural Networks
IJCAI 2018
Adaptive Multi-pass Decoder for Neural Machine Translation
EMNLP 2018
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
IJCAI 2018
Effective Deep Memory Networks for Distant Supervised Relation Extraction
IJCAI 2017
Liberal Event Extraction and Event Schema Induction
ACL 2016
English-Chinese Knowledge Base Translation with Neural Network
COLING 2016
Bitext Name Tagging for Cross-lingual Entity Annotation Projection
COLING 2016
Effective LSTMs for Target-Dependent Sentiment Classification
COLING 2016
A Language-Independent Neural Network for Event Detection
ACL 2016