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Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
Challenge

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

14 March 2018

Ashish Sabharwal

Carissa Schoenick

Oyvind Tafjord

ArXiv (abs)PDF HTML

Papers citing "Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge"

50 / 1,910 papers shown

FlashCommunication V2: Bit Splitting and Spike Reserving for Any Bit Communication

FlashCommunication V2: Bit Splitting and Spike Reserving for Any Bit Communication

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Trainable Dynamic Mask Sparse Attention

Trainable Dynamic Mask Sparse Attention

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MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models

MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models

165

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04 Aug 2025

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing

268

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04 Aug 2025

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning

144

1

0

04 Aug 2025

Balancing Information Accuracy and Response Timeliness in Networked LLMs

Balancing Information Accuracy and Response Timeliness in Networked LLMs

Baturalp Buyukates

124

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04 Aug 2025

CAPO: Towards Enhancing LLM Reasoning through Generative Credit Assignment

CAPO: Towards Enhancing LLM Reasoning through Generative Credit Assignment

434

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04 Aug 2025

Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction

Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction

165

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04 Aug 2025

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules

121

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0

04 Aug 2025

Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models

Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models

146

2

0

04 Aug 2025

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

162

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03 Aug 2025

ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models

ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models

338

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03 Aug 2025

How Does Controllability Emerge In Language Models During Pretraining?

How Does Controllability Emerge In Language Models During Pretraining?

236

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03 Aug 2025

Large-Scale Diverse Synthesis for Mid-Training

Large-Scale Diverse Synthesis for Mid-Training

151

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02 Aug 2025

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points

218

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02 Aug 2025

Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product

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Frederic Z. Zhang

Hemanth Saratchandran

Anton van den Hengel

Ehsan Abbasnejad

179

4

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01 Aug 2025

Lucy: edgerunning agentic web search on mobile with machine generated task vectors

Lucy: edgerunning agentic web search on mobile with machine generated task vectors

Norapat Buppodom

125

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0

01 Aug 2025

MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language

MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language

Farnaz Aghababaloo

Shahriar Shariati Motlagh

MohammadAli SadraeiJavaheri

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Amirhossein Shabani

Ghazal Zamaninejad

Amirmohammad Salehoof

Saeedeh Momtazi

235

2

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01 Aug 2025

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities

Tomohiro Sawada

191

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31 Jul 2025

Unveiling Super Experts in Mixture-of-Experts Large Language Models

Unveiling Super Experts in Mixture-of-Experts Large Language Models

281

3

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RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization

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369

17

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31 Jul 2025

KLLM: Fast LLM Inference with K-Means Quantization

KLLM: Fast LLM Inference with K-Means Quantization

257

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30 Jul 2025

Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead

Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead

Florian E. Dorner

Olawale Salaudeen

Augustin Kelava

169

2

0

30 Jul 2025

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning

Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning

126

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30 Jul 2025

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

Carel van Niekerk

Benjamin Ruppik

149

7

0

29 Jul 2025

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution

Hot-Swap MarkBoard: An Efficient Black-box Watermarking Approach for Large-scale Model Distribution

259

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28 Jul 2025

Kimi K2: Open Agentic Intelligence

Kimi K2: Open Agentic Intelligence

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182

81

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28 Jul 2025

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation

134

3

0

26 Jul 2025

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference

166

2

0

25 Jul 2025

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders

Richmond Sin Jing Xuan

138

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0

25 Jul 2025

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs

Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs

186

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24 Jul 2025

SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models

SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models

Taegkeun Whangbo

234

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24 Jul 2025

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling

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247

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24 Jul 2025

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method

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162

0

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24 Jul 2025

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation

146

1

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24 Jul 2025

NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database

NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database

170

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0

24 Jul 2025

Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios

Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios

Zhuang Qiang Bok

Watson Wei Khong Chua

141

0

0

24 Jul 2025

MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs

MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs

Alexander R. Fabbri

Ernesto Hernandez

327

2

0

23 Jul 2025

SpeLLM: Character-Level Multi-Head Decoding

SpeLLM: Character-Level Multi-Head Decoding

139

1

0

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LLM Data Selection and Utilization via Dynamic Bi-level Optimization

LLM Data Selection and Utilization via Dynamic Bi-level Optimization

240

1

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22 Jul 2025

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training

171

2

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21 Jul 2025

Reasoning Models are Test Exploiters: Rethinking Multiple-Choice

Reasoning Models are Test Exploiters: Rethinking Multiple-Choice

Kevin Leyton-Brown

207

3

0

21 Jul 2025

Diffusion Beats Autoregressive in Data-Constrained Settings

Diffusion Beats Autoregressive in Data-Constrained Settings

Mihir Prabhudesai

Katerina Fragkiadaki

331

22

0

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StackTrans: From Large Language Model to Large Pushdown Automata Model

StackTrans: From Large Language Model to Large Pushdown Automata Model

Huangzhao Zhang

172

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0

21 Jul 2025

Metric assessment protocol in the context of answer fluctuation on MCQ tasks

Metric assessment protocol in the context of answer fluctuation on MCQ tasks

Ekaterina Goliakova

Marie-Jeanne Lesot

Thibault Laugel

Christophe Marsala

Marcin Detyniecki

129

0

0

21 Jul 2025

From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment

From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

Chongxuan Huang

343

1

0

20 Jul 2025

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

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323

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LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters

LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters

Vladimir Bogachev

Vladimir Aletov

Alexander Molozhavenko

147

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16 Jul 2025

Composing Linear Layers from Irreducibles

Composing Linear Layers from Irreducibles

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First-Order Error Matters: Accurate Compensation for Quantized Large Language Models

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models

285

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