Bowen Yu
59 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
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Conferences
ACL (17)
EMNLP (17)
COLING (6)
IJCNLP (4)
AAAI (3)
ICML (3)
NAACL (3)
ICLR (2)
IJCAI (2)
NIPS (1)
OSDI (1)
Top co-authors
Keywords
large language model
(10)
graph neural network
(5)
named entity recognition
(5)
language model
(4)
relation extraction
(4)
open information extraction
(3)
benchmark evaluation
(3)
maximal clique
(3)
information extraction
(3)
tool use
(2)
instruction tuning
(2)
reinforcement learning from human feedback
(2)
lifelong learning
(2)
supervised fine-tuning
(2)
question answering
(2)
reinforcement learning
(2)
natural language generation
(2)
knowledge distillation
(2)
mathematical reasoning
(2)
model compression
(2)
Papers
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
ACL 2026
PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice
ACL 2026
Renormalization Group Guided Tensor Network Structure Search
AAAI 2026
START: Self-taught Reasoner with Tools
EMNLP 2025
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs
EMNLP 2025
Transferable Post-training via Inverse Value Learning
NAACL 2025
Efficient Long Context Fine-tuning with Chunk Flow
ICML 2025
ProcessBench: Identifying Process Errors in Mathematical Reasoning
ACL 2025
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
ICLR 2025
RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
EMNLP 2025
LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability
EMNLP 2025
Rethinking Data Selection at Scale: Random Selection is Almost All You Need
EMNLP 2025
MARGE: Improving Math Reasoning with Guided Exploration
ICML 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
ACL 2025
The Lessons of Developing Process Reward Models in Mathematical Reasoning
ACL 2025
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
COLING 2024
Preference Ranking Optimization for Human Alignment
AAAI 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
Language Models can Evaluate Themselves via Probability Discrepancy
ACL 2024
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
ACL 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NIPS 2024
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
COLING 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
EMNLP 2024
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
ICML 2024
TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks
NAACL 2024
Unified Language Representation for Question Answering over Text, Tables, and Images
ACL 2023
Universal Information Extraction with Meta-Pretrained Self-Retrieval
ACL 2023
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
ICLR 2023
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
EMNLP 2023
Causal Document-Grounded Dialogue Pre-training
EMNLP 2023
Improving Question Generation with Multi-level Content Planning
EMNLP 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer
EMNLP 2023
Domain Incremental Lifelong Learning in an Open World
ACL 2023
A Survey on Neural Open Information Extraction: Current Status and Future Directions
IJCAI 2022
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph
ACL 2022
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence
EMNLP 2022
Towards Generalized Open Information Extraction
EMNLP 2022
Semi-Supervised Lifelong Language Learning
EMNLP 2022
TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs
OSDI 2022
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
IJCNLP 2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
IJCNLP 2021
FITAnnotator: A Flexible and Intelligent Text Annotation System
NAACL 2021
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
ACL 2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
ACL 2021
Maximal Clique Based Non-Autoregressive Open Information Extraction
EMNLP 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
EMNLP 2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
ACL 2021
From What to Why: Improving Relation Extraction with Rationale Graph
ACL 2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
IJCNLP 2021
From What to Why: Improving Relation Extraction with Rationale Graph
IJCNLP 2021
Coarse-to-Fine Pre-training for Named Entity Recognition
EMNLP 2020
Document-level Relation Extraction with Dual-tier Heterogeneous Graph
COLING 2020
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
COLING 2020
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention
ACL 2020
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
AAAI 2020
Porous Lattice Transformer Encoder for Chinese NER
COLING 2020
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction
COLING 2020
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
EMNLP 2020
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction
IJCAI 2019