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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
v1v2 (latest)

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

9 May 2017
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
    RALM
ArXiv (abs)PDFHTML

Papers citing "TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension"

50 / 1,823 papers shown
Title
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
Aosong Feng
Rex Ying
Leandros Tassiulas
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Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
Dongryeol Lee
Yerin Hwang
Yongil Kim
Joonsuk Park
Kyomin Jung
ELM
164
10
0
28 Oct 2024
Rethinking Data Synthesis: A Teacher Model Training Recipe with
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Rethinking Data Synthesis: A Teacher Model Training Recipe with Interpretation
Yifang Chen
David Zhu
SyDa
53
0
0
27 Oct 2024
Investigating the Role of Prompting and External Tools in Hallucination
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Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models
Liam Barkley
Brink van der Merwe
HILMLLMAGLRM
50
4
0
25 Oct 2024
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate
  Hallucinations
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
Aryo Pradipta Gema
Chen Jin
Ahmed Abdulaal
Tom Diethe
Philip Teare
Beatrice Alex
Pasquale Minervini
Amrutha Saseendran
96
6
0
24 Oct 2024
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging
  Small LMs
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
A. S. Rawat
Veeranjaneyulu Sadhanala
Afshin Rostamizadeh
Ayan Chakrabarti
Wittawat Jitkrittum
...
Rakesh Shivanna
Sashank J. Reddi
A. Menon
Rohan Anil
Sanjiv Kumar
150
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Beyond Color and Lines: Zero-Shot Style-Specific Image Variations with
  Coordinated Semantics
Beyond Color and Lines: Zero-Shot Style-Specific Image Variations with Coordinated Semantics
Jinghao Hu
Yuhe Zhang
Guohua Geng
Liuyuxin Yang
JiaRui Yan
Jingtao Cheng
YaDong Zhang
Kang Li
DiffM
50
0
0
24 Oct 2024
Mixture of Parrots: Experts improve memorization more than reasoning
Mixture of Parrots: Experts improve memorization more than reasoning
Samy Jelassi
Clara Mohri
David Brandfonbrener
Alex Gu
Nikhil Vyas
Nikhil Anand
David Alvarez-Melis
Yuanzhi Li
Sham Kakade
Eran Malach
MoE
117
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CoreInfer: Accelerating Large Language Model Inference with
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Qinsi Wang
Saeed Vahidian
Hancheng Ye
Jianyang Gu
Jianyi Zhang
Yiran Chen
34
4
0
23 Oct 2024
Leveraging the Domain Adaptation of Retrieval Augmented Generation
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Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination
Salman Rakin
Md. A. R. Shibly
Zahin M. Hossain
Zeeshan Khan
Md. Mostofa Akbar
73
3
0
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Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong
Shivam Agarwal
Yizhe Zhang
Jiacheng Ye
Lin Zheng
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Peilin Zhao
W. Bi
Jiawei Han
Hao Peng
Dianbo Sui
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Fine-Tuning Large Language Models to Appropriately Abstain with Semantic
  Entropy
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
Benedict Aaron Tjandra
Muhammed Razzak
Jannik Kossen
Kunal Handa
Yarin Gal
HILM
74
1
0
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Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Jerry Huang
Prasanna Parthasarathi
Mehdi Rezagholizadeh
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Sarath Chandar
171
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CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
Zhenpeng Su
Xing Wu
Zijia Lin
Yizhe Xiong
Minxuan Lv
Guangyuan Ma
Hui Chen
Songlin Hu
Guiguang Ding
MoE
123
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Catastrophic Failure of LLM Unlearning via Quantization
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang
Fali Wang
Xiaomin Li
Zongyu Wu
Xianfeng Tang
Hui Liu
Qi He
Wenpeng Yin
Suhang Wang
MU
97
18
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BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
Yuankai Li
Jia-Chen Gu
Di Wu
Kai-Wei Chang
Nanyun Peng
RALMMQ
74
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Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large
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Qitan Lv
Jie Wang
Hanzhu Chen
Bin Li
Yongdong Zhang
Feng Wu
HILM
119
5
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Large Language Models Are Overparameterized Text Encoders
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Thennal D K
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Chris Biemann
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Efficiently Computing Susceptibility to Context in Language Models
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Mrinmaya Sachan
Ryan Cotterell
37
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Teaching Models to Balance Resisting and Accepting Persuasion
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Elias Stengel-Eskin
Peter Hase
Joey Tianyi Zhou
MU
95
5
0
18 Oct 2024
RiTeK: A Dataset for Large Language Models Complex Reasoning over
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RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs
Jiatan Huang
Mingchen Li
Zonghai Yao
Zhichao Yang
Yongkang Xiao
Feiyun Ouyang
Xiaohan Li
Shuo Han
Hong-ye Yu
RALM
140
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From Babbling to Fluency: Evaluating the Evolution of Language Models in
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From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition
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Pengda Wang
Luke D. Plonsky
Frederick L. Oswald
Hanjie Chen
ELM
77
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SPIN: Self-Supervised Prompt INjection
SPIN: Self-Supervised Prompt INjection
Leon Zhou
Junfeng Yang
Chengzhi Mao
AAMLSILM
82
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Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
Jiatao Li
Xinyu Hu
Xunjian Yin
Xiaojun Wan
RALM
137
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RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
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Xinze Li
Sen Mei
Zhenghao Liu
Yukun Yan
Shuo Wang
...
Haotian Chen
Ge Yu
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Maosong Sun
Chenyan Xiong
110
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Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Ingeol Baek
Hwan Chang
Byeongjeong Kim
Jimin Lee
Hwanhee Lee
RALM
162
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Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Weixuan Wang
J. Yang
Wei Peng
LLMSV
116
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16 Oct 2024
Conformity in Large Language Models
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Xiaochen Zhu
Caiqi Zhang
Tom Stafford
Nigel Collier
Andreas Vlachos
129
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Agent Skill Acquisition for Large Language Models via CycleQD
Agent Skill Acquisition for Large Language Models via CycleQD
So Kuroki
Taishi Nakamura
Takuya Akiba
Yujin Tang
MoMe
160
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Understanding Likelihood Over-optimisation in Direct Alignment
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Understanding Likelihood Over-optimisation in Direct Alignment Algorithms
Zhengyan Shi
Sander Land
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Max Bartolo
122
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SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented
  Generation
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
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Yan Zhong
Boren Hu
Yibin Chen
Baotian Hu
Min Zhang
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FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
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X. Zhao
Yan Zhong
Zetian Sun
Xinshuo Hu
Zhenyu Liu
Dongfang Li
Baotian Hu
Min Zhang
259
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Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know",
  and Reducing Hallucination in RAG
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Xinxi Chen
Li Wang
Wei Wu
Qi Tang
Yang Liu
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Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
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Hamed Zamani
RALM
100
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Boosting Deductive Reasoning with Step Signals In RLHF
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Yipin Zhang
Wei Shen
Yuzi Yan
Jian Xie
Dong Yan
LRMReLM
62
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ACER: Automatic Language Model Context Extension via Retrieval
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Jamie Callan
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56
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NoVo: Norm Voting off Hallucinations with Attention Heads in Large
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Yibing Zhan
Dacheng Tao
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Retrieving Contextual Information for Long-Form Question Answering using
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Ionut Teodor Sorodoc
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Adria de Gispert
RALM
59
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SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
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H. Xia
Zhengbang Yang
Junbo Zou
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Yuqing Wang
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Xun Shao
Zhuoqing Xie
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Hanjie Chen
ReLMLRMELM
125
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Scaling Laws for Predicting Downstream Performance in LLMs
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Heng Ji
LRM
151
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MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
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Shojiro Yamabe
Futa Waseda
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Koki Wataoka
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142
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KV Prediction for Improved Time to First Token
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Chenfan Sun
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Optima: Optimizing Effectiveness and Efficiency for LLM-Based
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LLMAG
91
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AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+
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LLMAG
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How Does Vision-Language Adaptation Impact the Safety of Vision Language
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Boosting Deep Ensembles with Learning Rate Tuning
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A Closer Look at Machine Unlearning for Large Language Models
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COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
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Utilize the Flow before Stepping into the Same River Twice: Certainty
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Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
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