Xin Jiang
129 papers · 2016–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π Conference Polyglot (15)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
π§
Keyword Pioneer
π
Conference Loyalist
(37)
π
Keyword Champion
(2)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(27)
π¬
Deep Specialist
(23)
π§¬
Topic Evolution
π€
Dynamic Duo
(78)
π
Trend Setter
β‘
Prolific Year
(16)
π
Century Club
(127)
β
The Questioner
ποΈ
Keyword Collector
(58)
π
Conference Pioneer
π₯
Unstoppable
(8)
Conferences
ACL (37)
EMNLP (21)
AAAI (16)
ICLR (14)
NIPS (10)
NAACL (6)
ICML (5)
IJCNLP (5)
COLING (4)
IJCAI (4)
ICCV (2)
INTERSPEECH (2)
AACL (1)
CVPR (1)
WACV (1)
Top co-authors
Keywords
knowledge distillation
(15)
model compression
(13)
large language model
(12)
pre-trained language model
(10)
language model
(10)
text generation
(9)
reinforcement learning
(8)
attention mechanism
(8)
transfer learning
(8)
dialogue system
(6)
vision-language model
(6)
multimodal learning
(6)
contrastive learning
(5)
question answering
(5)
graph neural network
(5)
paraphrase generation
(5)
pretrained language model
(5)
knowledge graph
(4)
representation learning
(4)
few-shot learning
(4)
Papers
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
AAAI 2026
Fine-Grained Image Retrieval via Dual-Vision Adaptation
AAAI 2026
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
ICML 2025
@BENCH: Benchmarking Vision-Language Models for Human-Centered Assistive Technology
WACV 2025
FaceShot: Bring Any Character into Life
ICLR 2025
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
ICLR 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
ACL 2025
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models
COLING 2025
Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
ACL 2025
Implicit Search via Discrete Diffusion: A Study on Chess
ICLR 2025
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
ICLR 2025
Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration
ICLR 2025
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
ICLR 2025
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
ACL 2025
Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition
ICCV 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection
ICCV 2025
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMsβ Reasoning
EMNLP 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
ACL 2025
Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
ACL 2025
IMAGDressing-v1: Customizable Virtual Dressing
AAAI 2025
CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information
AAAI 2025
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
NAACL 2025
ToolACE: Winning the Points of LLM Function Calling
ICLR 2025
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
NAACL 2025
Not All Layers of LLMs Are Necessary During Inference
IJCAI 2025
FlatQuant: Flatness Matters for LLM Quantization
ICML 2025
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
ICLR 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Unsupervised Extractive Summarization with Learnable Length Control Strategies
AAAI 2024
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
EMNLP 2024
Preparing Lessons for Progressive Training on Language Models
AAAI 2024
Visually Guided Generative Text-Layout Pre-training for Document Intelligence
NAACL 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NIPS 2024
Extracting Training Data from Molecular Pre-trained Models
NIPS 2024
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
NIPS 2024
Delving into Multimodal Prompting for Fine-Grained Visual Classification
AAAI 2024
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
ACL 2024
Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024
Prompt-Based Length Controlled Generation with Multiple Control Types
ACL 2024
Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
ACL 2024
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
NIPS 2023
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation
AAAI 2023
Gradually Excavating External Knowledge for Implicit Complex Question Answering
EMNLP 2023
One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems
ACL 2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization
ACL 2023
mCLIP: Multilingual CLIP via Cross-lingual Transfer
ACL 2023
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding
ACL 2023
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
ACL 2023
NewsDialogues: Towards Proactive News Grounded Conversation
ACL 2023
Structured Pruning for Efficient Generative Pre-trained Language Models
ACL 2023
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks
ACL 2023
A Study on Transformer Configuration and Training Objective
ICML 2023
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video
IJCAI 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment
EMNLP 2023
Reusing Pretrained Models by Multi-linear Operators for Efficient Training
NIPS 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NIPS 2023
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling
EMNLP 2022
Towards Efficient Post-training Quantization of Pre-trained Language Models
NIPS 2022
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
NIPS 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
AutoBERT-Zero: Evolving BERT Backbone from Scratch
AAAI 2022
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
AAAI 2022
bert2BERT: Towards Reusable Pretrained Language Models
ACL 2022
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer
ACL 2022
Compression of Generative Pre-trained Language Models via Quantization
ACL 2022
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering
ACL 2022
Compilable Neural Code Generation with Compiler Feedback
ACL 2022
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders
ACL 2022
MINER: Multi-Interest Matching Network for News Recommendation
ACL 2022
Read before Generate! Faithful Long Form Question Answering with Machine Reading
ACL 2022
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
ACL 2022
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation
ACL 2022
MTRec: Multi-Task Learning over BERT for News Recommendation
ACL 2022
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues
ACL 2022
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation
COLING 2022
UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog
CVPR 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing
EMNLP 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
EMNLP 2022
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation
EMNLP 2022
Pre-training Language Models with Deterministic Factual Knowledge
EMNLP 2022
Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark
EMNLP 2022
Offline-to-Online Co-Evolutional User Simulator and Dialogue System
EMNLP 2022
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
ICLR 2022
Exploring extreme parameter compression for pre-trained language models
ICLR 2022
FILIP: Fine-grained Interactive Language-Image Pre-Training
ICLR 2022
Boosting Graph Structure Learning with Dummy Nodes
ICML 2022
CoCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation Detection and Diagnosis
INTERSPEECH 2022
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models
NAACL 2022
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
NAACL 2022
BinaryBERT: Pushing the Limit of BERT Quantization
ACL 2021
Exploring Discourse Structures for Argument Impact Classification
ACL 2021
GhostBERT: Generate More Features with Cheap Operations for BERT
IJCNLP 2021
On Position Embeddings in BERT
ICLR 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
ICLR 2021
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
IJCNLP 2021
BinaryBERT: Pushing the Limit of BERT Quantization
IJCNLP 2021
Exploring Discourse Structures for Argument Impact Classification
IJCNLP 2021
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling
EMNLP 2021
Improving Unsupervised Question Answering via Summarization-Informed Question Generation
EMNLP 2021
Generate & Rank: A Multi-task Framework for Math Word Problems
EMNLP 2021
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
AAAI 2021
GhostBERT: Generate More Features with Cheap Operations for BERT
ACL 2021
Improved OOD Generalization via Adversarial Training and Pretraing
ICML 2021
Continuous Self-Attention Models with Neural ODE Networks
AAAI 2021
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
ACL 2021
Progressive Memory Banks for Incremental Domain Adaptation
ICLR 2020
Unsupervised Text Generation by Learning from Search
NIPS 2020
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation
AACL 2020
HyperText: Endowing FastText with Hyperbolic Geometry
EMNLP 2020
Accurate Word Alignment Induction from Neural Machine Translation
EMNLP 2020
TernaryBERT: Distillation-aware Ultra-low Bit BERT
EMNLP 2020
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
IJCAI 2020
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
ACL 2020
An Investigation of Few-Shot Learning in Spoken Term Classification
INTERSPEECH 2020
Dialog State Tracking with Reinforced Data Augmentation
AAAI 2020
DynaBERT: Dynamic BERT with Adaptive Width and Depth
NIPS 2020
TinyBERT: Distilling BERT for Natural Language Understanding
EMNLP 2020
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models
EMNLP 2020
Exploring Diverse Expressions for Paraphrase Generation
IJCNLP 2019
Decomposable Neural Paraphrase Generation
ACL 2019
ERNIE: Enhanced Language Representation with Informative Entities
ACL 2019
Exploring Diverse Expressions for Paraphrase Generation
EMNLP 2019
CRST: a Claim Retrieval System in Twitter
COLING 2018
Interpretable Rationale Augmented Charge Prediction System
COLING 2018
Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
NAACL 2018
Paraphrase Generation with Deep Reinforcement Learning
EMNLP 2018
Neural Generative Question Answering
IJCAI 2016