Zifeng Wang
41 papers · 2018–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (7)
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Academic Marathon
(7)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(16)
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Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
π
Century Club
(39)
π
Conference Pioneer
ποΈ
Keyword Collector
(163)
β‘
Prolific Year
(10)
π
Trend Setter
π₯
Unstoppable
(6)
Conferences
ACL (8)
ICLR (7)
EMNLP (6)
NIPS (6)
NAACL (5)
ECCV (2)
ICML (2)
AAAI (1)
COLING (1)
CVPR (1)
EACL (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(9)
knowledge distillation
(4)
retrieval-augmented generation
(4)
catastrophic forgetting
(3)
question answering
(3)
language model
(3)
zero-shot learning
(3)
continual learning
(3)
data generation
(2)
visual document understanding
(2)
zero-shot prediction
(2)
contrastive learning
(2)
multi-turn interaction
(2)
information bottleneck
(2)
influence function
(2)
tabular datum
(2)
prompt learning
(2)
mutual information
(2)
reinforcement learning
(2)
relation extraction
(2)
Papers
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
EACL 2026
When One LLM Drools, Multi-LLM Collaboration Rules
ACL 2026
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
ICLR 2025
s3: You Donβt Need That Much Data to Train a Search Agent via RL
EMNLP 2025
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
STAR: Stability-Inducing Weight Perturbation for Continual Learning
ICLR 2025
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
ICLR 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
ICLR 2025
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
ACL 2025
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
ICML 2025
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
ACL 2025
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization
ACL 2024
TableRAG: Million-Token Table Understanding with Language Models
NIPS 2024
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
ACL 2024
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
ACL 2024
LMDX: Language Model-based Document Information Extraction and Localization
ACL 2024
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
ICLR 2024
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
ICLR 2024
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
IJCAI 2024
PILOT: Legal Case Outcome Prediction with Case Law
NAACL 2024
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
NAACL 2024
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
NAACL 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data
NAACL 2024
AutoTrial: Prompting Language Models for Clinical Trial Design
EMNLP 2023
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
ICML 2023
QueryForm: A Simple Zero-shot Form Entity Query Framework
ACL 2023
Learning To Prompt for Continual Learning
CVPR 2022
TransTab: Learning Transferable Tabular Transformers Across Tables
NIPS 2022
Finding Influential Instances for Distantly Supervised Relation Extraction
COLING 2022
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
ECCV 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
EMNLP 2022
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
EMNLP 2022
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
EMNLP 2022
PAC-Bayes Information Bottleneck
ICLR 2022
SparCL: Sparse Continual Learning on the Edge
NIPS 2022
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
NIPS 2021
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NIPS 2020
Instance-wise Feature Grouping
NIPS 2020
Collaborative Deep Reinforcement Learning for Multi-Object Tracking
ECCV 2018