Michael Bendersky
25 papers · 2011–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
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Dynamic Duo
(10)
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Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(97)
β
The Questioner
(2)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Prolific
Top co-authors
Research topics
Machine Learning
(18)
Natural Language Processing
(17)
Artificial Intelligence
(14)
Applications
(13)
Resources & Methods
(12)
Core AI
(9)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Learning Paradigms
(6)
Deep Learning
(4)
Learning Types Β· Deep Learning
(4)
Generation
(3)
Optimization & Theory
(3)
Models
(2)
Keywords
large language model
(12)
information retrieval
(7)
in-context learning
(5)
knowledge distillation
(3)
zero-shot learning
(3)
prompt engineering
(3)
retrieval-augmented generation
(3)
multilingual nlp
(2)
retrieval augmentation
(2)
representation learning
(2)
text classification
(2)
document ranking
(2)
learning to rank
(2)
instruction tuning
(2)
reinforcement learning
(2)
relevance prediction
(2)
fine-grained classification
(2)
few-shot learning
(1)
knowledge transfer
(1)
preference learning
(1)
Papers
Inference Scaling for Long-Context Retrieval Augmented Generation
ICLR 2025
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
ACL 2025
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
NAACL 2024
Bridging the Preference Gap between Retrievers and LLMs
ACL 2024
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 2024
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
ACL 2024
Itβs All Relative! β A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction
NAACL 2024
LaMP: When Large Language Models Meet Personalization
ACL 2024
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
NAACL 2024
MLT-DR: Multi-Lingual/Task Demonstration RetrievalAn Attempt towards Generalized Retriever for In-Context Learning
EMNLP 2024
Multilingual Fine-Grained News Headline Hallucination Detection
EMNLP 2024
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
ICML 2024
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
ACL 2024
Predicting Text Preference Via Structured Comparative Reasoning
ACL 2024
PRewrite: Prompt Rewriting with Reinforcement Learning
ACL 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
EMNLP 2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
NAACL 2024
Creator Context for Tweet Recommendation
EMNLP 2023
Learning List-Level Domain-Invariant Representations for Ranking
NeurIPS 2023
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation
EMNLP 2022
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
ICLR 2021
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
EMNLP 2020
Learning with Sparse and Biased Feedback for Personal Search
IJCAI 2018
A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases
NAACL 2012
Joint Annotation of Search Queries
ACL 2011