Xiachong Feng
26 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(22)
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Artificial Intelligence
(22)
Core AI
(20)
Natural Language Processing
(15)
Resources & Methods
(11)
Machine Learning
(10)
Deep Learning
(8)
Learning Types · Machine Learning
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Generation
(6)
Learning Types · Deep Learning
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Application Areas
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Learning Paradigms
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Computer Science
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Applications · Computer Science
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Models
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Applications · Natural Language Processing
(1)
Keywords
large language model
(13)
low-resource language
(3)
dialogue summarization
(3)
text summarization
(3)
zero-shot learning
(2)
vision-language model
(2)
large vision-language model
(2)
hallucination mitigation
(2)
meeting summarization
(2)
cross-lingual transfer
(2)
pre-trained language model
(2)
question answering
(2)
data augmentation
(1)
multilingual nlp
(1)
mathematical reasoning
(1)
factual accuracy
(1)
machine translation
(1)
feature extraction
(1)
knowledge editing
(1)
knowledge distillation
(1)
Papers
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
AAAI 2026
Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
ACL 2026
ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
ACL 2026
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning
AAAI 2026
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Models
ACL 2026
Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
ACL 2026
Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
ACL 2026
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
ACL 2025
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning
ACL 2025
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
AAAI 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
EMNLP 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios
ACL 2025
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
ACL 2025
Reasoning Does Not Necessarily Improve Role-Playing Ability
ACL 2025
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
COLING 2025
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
EMNLP 2024
Learning Fine-Grained Grounded Citations for Attributed Large Language Models
ACL 2024
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
EMNLP 2024
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
ACL 2024
Hierarchical Catalogue Generation for Literature Review: A Benchmark
EMNLP 2023
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
IJCAI 2022
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization
ACL 2022
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
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
IJCAI 2018