Yao Fu
35 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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(55)
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(2)
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(33)
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Conferences
ICLR (8)
NIPS (6)
EMNLP (5)
ICML (5)
ACL (3)
NAACL (3)
OSDI (2)
AAAI (1)
EACL (1)
JMLR (1)
Top co-authors
Keywords
large language model
(7)
model compression
(3)
variational autoencoder
(3)
named entity recognition
(2)
benchmark evaluation
(2)
question answering
(2)
language model
(2)
text generation
(2)
structured inference
(2)
paraphrase generation
(2)
sequential decision-making
(1)
natural language inference
(1)
in-context learning
(1)
natural language generation
(1)
model distillation
(1)
interactive decision-making
(1)
representation learning
(1)
knowledge distillation
(1)
explanation generation
(1)
attention mechanism
(1)
Papers
Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance
EACL 2026
JW-SVD: Bridging the Cross-Modal Mismatch in Post-Training MLLM Compression
ACL 2026
Retrieval Head Mechanistically Explains Long-Context Factuality
ICLR 2025
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
ICLR 2025
Interactive and Expressive Code-Augmented Planning with Large Language Models
ACL 2025
When Truthful Representations Flip Under Deceptive Instructions?
EMNLP 2025
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
EMNLP 2025
FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression
EMNLP 2025
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
EMNLP 2025
Digest the Knowledge: Large Language Models empowered Message Passing for Knowledge Graph Question Answering
ACL 2025
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
ICLR 2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
NIPS 2024
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models
OSDI 2024
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
ICML 2024
Data Engineering for Scaling Language Models to 128K Context
ICML 2024
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
ICLR 2023
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
NIPS 2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
NIPS 2023
Complexity-Based Prompting for Multi-step Reasoning
ICLR 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
ICML 2023
Specializing Smaller Language Models towards Multi-Step Reasoning
ICML 2023
TorchOpt: An Efficient Library for Differentiable Optimization
JMLR 2023
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE
EMNLP 2022
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update
OSDI 2022
Few-shot Subgoal Planning with Language Models
NAACL 2022
Scaling Structured Inference with Randomization
ICML 2022
Prototypical Representation Learning for Relation Extraction
ICLR 2021
Nested Named Entity Recognition with Partially-Observed TreeCRFs
AAAI 2021
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
NIPS 2021
Noisy-Labeled NER with Confidence Estimation
NAACL 2021
Probing BERT in Hyperbolic Spaces
ICLR 2021
Latent Template Induction with Gumbel-CRFs
NIPS 2020
Model-Augmented Actor-Critic: Backpropagating through Paths
ICLR 2020
Paraphrase Generation with Latent Bag of Words
NIPS 2019
Natural Answer Generation with Heterogeneous Memory
NAACL 2018