Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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24,421 to 24,480 of 119,811

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
Yuhao Wang, Ruiyang Ren, Junyi Li +3
cs.CLcs.IRarXiv:2402.17497v22024
Context Embeddings for Efficient Answer Generation in RAG
David Rau, Shuai Wang, Hervé Déjean +1
cs.CLcs.IRarXiv:2407.09252v32024
Fermionic tomography and learning
Bryan O'Gorman
quant-phcs.DSarXiv:2207.14787v12022
How to Train Data-Efficient LLMs
Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang +6
cs.LGcs.AIcs.CLarXiv:2402.09668v12024
ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback
Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang +5
cs.CLarXiv:2304.02426v52023
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
Geyang Guo, Ranchi Zhao, Tianyi Tang +2
cs.CLarXiv:2311.04072v22023
Large Search Model: Redefining Search Stack in the Era of LLMs
Liang Wang, Nan Yang, Xiaolong Huang +3
cs.IRcs.CLarXiv:2310.14587v22023
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
Raphael Tang, Xinyu Zhang, Xueguang Ma +2
cs.CLcs.LGarXiv:2310.07712v22023
SlimPajama-DC: Understanding Data Combinations for LLM Training
Zhiqiang Shen, Tianhua Tao, Liqun Ma +8
cs.CLcs.AIarXiv:2309.10818v32023
CTRL: Connect Collaborative and Language Model for CTR Prediction
Xiangyang Li, Bo Chen, Lu Hou +1
cs.IRarXiv:2306.02841v42023
Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks
Tiedong Liu, Bryan Kian Hsiang Low
cs.LGcs.AIcs.CLarXiv:2305.14201v12023
BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Wen Yang, Chong Li, Jiajun Zhang +1
cs.CLarXiv:2305.18098v32023
Large Language Models are Built-in Autoregressive Search Engines
Noah Ziems, Wenhao Yu, Zhihan Zhang +1
cs.CLcs.IRarXiv:2305.09612v12023
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
cs.LGcs.CLarXiv:2505.00234v32025
An Improved Empirical Fisher Approximation for Natural Gradient Descent
Xiaodong Wu, Wenyi Yu, Chao Zhang +1
cs.LGarXiv:2406.06420v22024
FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
Dongseong Hwang
cs.LGcs.AIcs.ITarXiv:2405.12807v112024
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
Rongjie Huang, Jinglin Liu, Huadai Liu +4
cs.CLcs.SDeess.ASarXiv:2205.12523v22022
Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond
Adam Callison, Nicholas Chancellor
quant-pharXiv:2207.06850v12022
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
Aditya Golatkar, Alessandro Achille, Stefano Soatto
cs.LGcs.AIstat.MLarXiv:1905.13277v12019
Bag of Tricks and A Strong baseline for Image Copy Detection
Wenhao Wang, Weipu Zhang, Yifan Sun +1
cs.CVarXiv:2111.08004v22021
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Max Marion, Ahmet Üstün, Luiza Pozzobon +3
cs.CLcs.LGarXiv:2309.04564v12023
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
Sukmin Cho, Soyeong Jeong, Jeongyeon Seo +1
cs.IRcs.AIcs.CLarXiv:2305.13729v12023
GenRewrite: Query Rewriting via Large Language Models
Jie Liu, Barzan Mozafari
cs.DBarXiv:2403.09060v32024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
Peiyu Liu, Zikang Liu, Ze-Feng Gao +5
cs.CLcs.AIarXiv:2307.08072v22023
FLM-101B: An Open LLM and How to Train It with $100K Budget
Xiang Li, Yiqun Yao, Xin Jiang +10
cs.CLcs.AIarXiv:2309.03852v32023
Krylov-aware stochastic trace estimation
Tyler Chen, Eric Hallman
math.NAcs.NAarXiv:2205.01736v32022
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation
Wenliang Dai, Lu Hou, Lifeng Shang +3
cs.CLcs.AIcs.CVarXiv:2203.06386v22022
pylspack: Parallel algorithms and data structures for sketching, column subset selection, regression and leverage scores
Aleksandros Sobczyk, Efstratios Gallopoulos
cs.DScs.DCcs.MSarXiv:2203.02798v22022
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
Zhenchao Jin, Bin Liu, Qi Chu +1
cs.CVarXiv:2108.12382v12021
SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions
Panayiotis Smeros, Vincent Emonet, Ruijie Wang +2
cs.IRcs.AIcs.CLarXiv:2512.14277v22025
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion
Cheng Chi, Shuran Song
cs.CVcs.LGcs.ROarXiv:2104.05177v22021
Vision Transformer Pruning
Mingjian Zhu, Yehui Tang, Kai Han
cs.CVarXiv:2104.08500v42021
The Deconfounded Recommender: A Causal Inference Approach to Recommendation
Yixin Wang, Dawen Liang, Laurent Charlin +1
cs.IRcs.LGstat.MLarXiv:1808.06581v22018
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
cs.IRarXiv:1907.06412v12019
Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval
Chunxi Guo, Zhiliang Tian, Jintao Tang +4
cs.CLcs.AIarXiv:2304.13301v22023
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
M. A. Iwen, D. Needell, E. Rebrova +1
math.NAcs.NAstat.MLarXiv:1912.08294v22019
Modelling Quantum Circuits with UML
Ricardo Pérez-Castillo, Luis Jiménez-Navajas, Mario Piattini
cs.SEarXiv:2103.16169v12021
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Qi Song, Kangfu Mei, Rui Huang
cs.CVarXiv:2103.05930v12021
Convolutional Autoencoders for Human Motion Infilling
Manuel Kaufmann, Emre Aksan, Jie Song +3
cs.CVarXiv:2010.11531v12020
A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era
Siyuan Niu, Adrien Suau, Gabriel Staffelbach +1
cs.ARquant-pharXiv:2010.03397v12020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
Nan Jiang, Sheng Jin, Zhiyao Duan +1
cs.LGcs.HCeess.ASarXiv:2002.03082v12020
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Juhong Min, Jongmin Lee, Jean Ponce +1
cs.CVarXiv:1908.06537v12019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard, Gauthier Gidel, Amjad Almahairi +2
cs.LGstat.MLarXiv:1906.04848v32019
3D Local Features for Direct Pairwise Registration
Haowen Deng, Tolga Birdal, Slobodan Ilic
cs.CVcs.AIcs.LGarXiv:1904.04281v12019
Generic 3D Representation via Pose Estimation and Matching
Amir R. Zamir, Tilman Wekel, Pulkit Argrawal +3
cs.CVcs.LGcs.NEarXiv:1710.08247v12017
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment
Pedro Miraldo, Surojit Saha, Srikumar Ramalingam
cs.CVarXiv:1904.03941v12019
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks
Stephen Phillips, Kostas Daniilidis
cs.CVarXiv:1901.02078v12019
RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
Lei Han, Mengqi Ji, Lu Fang +1
cs.CVarXiv:1812.10212v12018
ShelfNet for Fast Semantic Segmentation
Juntang Zhuang, Junlin Yang, Lin Gu +1
cs.CVarXiv:1811.11254v62018
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Ilkay Oksuz, Bram Ruijsink, Esther Puyol-Anton +8
cs.CVarXiv:1810.12185v22018
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
Zheng Dang, Kwang Moo Yi, Yinlin Hu +3
cs.CVarXiv:1803.08071v22018
Engineering Record And Replay For Deployability: Extended Technical Report
Robert O'Callahan, Chris Jones, Nathan Froyd +3
cs.PLarXiv:1705.05937v12017
Evaluating (and improving) the correspondence between deep neural networks and human representations
Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths
cs.CVarXiv:1706.02417v32017
The True Cost of Stochastic Gradient Langevin Dynamics
Tigran Nagapetyan, Andrew B. Duncan, Leonard Hasenclever +3
stat.MEcs.NAmath.NAarXiv:1706.02692v12017
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao, Min Zhao, Zhongkai Hao +3
physics.chem-phcs.LGq-bio.BMarXiv:2209.15408v32022
KUDA: Knowledge Unlearning by Deviating Representation for Large Language Models
Ce Fang, Zhikun Zhang, Min Chen +4
cs.CRarXiv:2602.19275v32026
DUSK: Do Not Unlearn Shared Knowledge
Wonje Jeung, Sangyeon Yoon, Hyesoo Hong +4
cs.CLarXiv:2505.15209v32025
Soft Prompting for Unlearning in Large Language Models
Karuna Bhaila, Minh-Hao Van, Xintao Wu
cs.CLcs.AIcs.LGarXiv:2406.12038v22024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Jiabao Ji, Yujian Liu, Yang Zhang +4
cs.CLcs.AIarXiv:2406.08607v12024
Contrastive Representation Shaping for LLM Unlearning
Haoran Tang, Rajiv Khanna
cs.LGarXiv:2601.22028v22026

Every paper with a summary

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering

Context Embeddings for Efficient Answer Generation in RAG

Fermionic tomography and learning

How to Train Data-Efficient LLMs

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Large Search Model: Redefining Search Stack in the Era of LLMs

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models

SlimPajama-DC: Understanding Data Combinations for LLM Training

CTRL: Connect Collaborative and Language Model for CTR Prediction

Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks

BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Large Language Models are Built-in Autoregressive Search Engines

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks

An Improved Empirical Fisher Approximation for Natural Gradient Descent

FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information

TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation

Hybrid quantum-classical algorithms in the noisy intermediate-scale quantum era and beyond

Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence

Bag of Tricks and A Strong baseline for Image Copy Detection

When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker

GenRewrite: Query Rewriting via Large Language Models

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study

FLM-101B: An Open LLM and How to Train It with $100K Budget

Krylov-aware stochastic trace estimation

Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation

pylspack: Parallel algorithms and data structures for sketching, column subset selection, regression and leverage scores

ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation

SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions

GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion

Vision Transformer Pruning

The Deconfounded Recommender: A Causal Inference Approach to Recommendation

To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions

Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval

Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares

Modelling Quantum Circuits with UML

AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing

Convolutional Autoencoders for Human Motion Infilling

A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era

RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning

Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks

3D Local Features for Direct Pairwise Registration

Generic 3D Representation via Pose Estimation and Matching

Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment

All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks

RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration

ShelfNet for Fast Semantic Segmentation

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Engineering Record And Replay For Deployability: Extended Technical Report

Evaluating (and improving) the correspondence between deep neural networks and human representations

The True Cost of Stochastic Gradient Langevin Dynamics

Equivariant Energy-Guided SDE for Inverse Molecular Design

KUDA: Knowledge Unlearning by Deviating Representation for Large Language Models

DUSK: Do Not Unlearn Shared Knowledge

Soft Prompting for Unlearning in Large Language Models

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Contrastive Representation Shaping for LLM Unlearning