Jingang Wang

71 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (110) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (5) 🌍 Conference Polyglot (10) 🏠 Conference Loyalist (29) 🤝 Dynamic Duo (24) 👥 Mega-Team (27) 🔬 Deep Specialist (16) 🧬 Topic Evolution 🏆 Keyword Champion (5) 🗃️ Keyword Collector (289) ⚡ Prolific Year (13) 🔥 Unstoppable (5) 💎 Century Club (68) ❓ The Questioner (4)

Conferences

EMNLP (29) ACL (19) AAAI (7) COLING (6) NIPS (3) ICLR (2) NAACL (2) EACL (1) IJCAI (1) IJCNLP (1)

Top co-authors

Xunliang Cai (26) Wei Wu (20) Jiahao Liu (20) Qifan Wang (19) Weiran Xu (14) Keqing He (14) Yunsen Xian (9) Pei Wang (9) Dongyan Zhao (8) Yutao Mou (7)

Keywords

large language model (19) representation learning (8) language model (7) knowledge distillation (7) model compression (7) prompt tuning (7) pre-trained language model (6) contrastive learning (6) intent classification (5) data quality (5) dialogue system (5) few-shot learning (4) out-of-domain detection (4) pretrained language model (4) out-of-distribution detection (4) code generation (3) zero-shot learning (3) dense retrieval (3) data selection (3) task-oriented dialogue (3)

Papers

From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling AAAI 2026

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026

Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy ACL 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data ACL 2025

FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025

Jailbreak LLMs through Internal Stance Manipulation EMNLP 2025

ReMamba: Equip Mamba with Effective Long-Sequence Modeling EMNLP 2025

SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025

Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025

AgentRefine: Enhancing Agent Generalization through Refinement Tuning ICLR 2025

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective ICLR 2025

Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models AAAI 2025

Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025

IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method EMNLP 2025

Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025

Multi-Programming Language Sandbox for LLMs ACL 2025

Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training ACL 2025

Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024

C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning ACL 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024

Graph-Structured Speculative Decoding ACL 2024

Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation NIPS 2024

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding AAAI 2024

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024

Task-agnostic Distillation of Encoder-Decoder Language Models COLING 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024

Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NIPS 2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024

Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning EMNLP 2024

Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023

Lifting the Curse of Capacity Gap in Distilling Language Models ACL 2023

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models EMNLP 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT EMNLP 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training ACL 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation ACL 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023

VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification ACL 2022

Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations COLING 2022

Structural Bias for Aspect Sentiment Triplet Extraction COLING 2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models NIPS 2022

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022

Making Pretrained Language Models Good Long-tailed Learners EMNLP 2022

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022

XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval EMNLP 2022

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval IJCNLP 2021

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction NAACL 2021

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval ACL 2021

Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis IJCAI 2019

Alibaba’s Neural Machine Translation Systems for WMT18 EMNLP 2018

LDTM: A Latent Document Type Model for Cumulative Citation Recommendation EMNLP 2015