Zixia Jia

Orcid: 0009-0008-6746-0593

According to our database1, Zixia Jia authored at least 38 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
$OneMillion-Bench: How Far are Language Agents from Human Experts?
CoRR, March, 2026

MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

NarrativeLoom: Enhancing Creative Storytelling through Multi-Persona Collaborative Improvisation.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts.
CoRR, December, 2025

Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning.
CoRR, December, 2025

Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment.
CoRR, October, 2025

Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs.
CoRR, August, 2025

TongSearch-QR: Reinforced Query Reasoning for Retrieval.
CoRR, June, 2025

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space.
CoRR, May, 2025

From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation up to 100K Tokens.
CoRR, February, 2025

The AI Hippocampus: How Far are We From Human Memory?
Trans. Mach. Learn. Res., 2025

TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adaptive Preference Optimization with Uncertainty-aware Utility Anchor.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IMPROVISER: Multi-persona Co-creation System Enhances Story Creativity.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers.
CoRR, 2024

Varying Sentence Representations via Condition-Specified Routers.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.
CoRR, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling.
CoRR, 2022

SHARP: Search-Based Adversarial Attack for Structured Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition.
CoRR, 2021

Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings.
Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, 2021

Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Structural Knowledge Distillation.
CoRR, 2020

Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing.
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019


  Loading...