← Authors

Yao Fu

34 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (55) πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (33) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (122)

Conferences

ICLR (8) NIPS (6) EMNLP (5) ICML (5) NAACL (3) ACL (2) OSDI (2) AAAI (1) EACL (1) JMLR (1)

Top co-authors

Honglak Lee (5) Pan Li (4) Xianxuan Long (4) Chuanqi Tan (4) Hao Peng (4) Runchao Li (4) Mosha Chen (4) Haotian Yu (4) Luo Mai (3) Ashish Sabharwal (3)

Keywords

large language model (7) variational autoencoder (3) question answering (2) model compression (2) benchmark evaluation (2) named entity recognition (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
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads ICLR 2025
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs EMNLP 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
Retrieval Head Mechanistically Explains Long-Context Factuality ICLR 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
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models OSDI 2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents NIPS 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
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update OSDI 2022
Scaling Structured Inference with Randomization ICML 2022
Few-shot Subgoal Planning with Language Models NAACL 2022
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE EMNLP 2022
Probing BERT in Hyperbolic Spaces ICLR 2021
Noisy-Labeled NER with Confidence Estimation NAACL 2021
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation NIPS 2021
Nested Named Entity Recognition with Partially-Observed TreeCRFs AAAI 2021
Prototypical Representation Learning for Relation Extraction 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