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Collections including paper arxiv:2503.01917

Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
SafeArena: Evaluating the Safety of Autonomous Web Agents

Paper • 2503.04957 • Published Mar 6 • 21
Learning from Failures in Multi-Attempt Reinforcement Learning

Paper • 2503.04808 • Published Mar 4 • 18
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14, 2024 • 55
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 25
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 78

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 39
Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training

Paper • 2410.15460 • Published Oct 20, 2024 • 1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations

Paper • 2410.18860 • Published Oct 24, 2024 • 11
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Paper • 2411.14257 • Published Nov 21, 2024 • 14

Linear Correlation in LM's Compositional Generalization and Hallucination

Paper • 2502.04520 • Published Feb 6 • 10
How to Steer LLM Latents for Hallucination Detection?

Paper • 2503.01917 • Published Mar 1 • 11
Are Reasoning Models More Prone to Hallucination?

Paper • 2505.23646 • Published May 29 • 24
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 193

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
SafeArena: Evaluating the Safety of Autonomous Web Agents

Paper • 2503.04957 • Published Mar 6 • 21
Learning from Failures in Multi-Attempt Reinforcement Learning

Paper • 2503.04808 • Published Mar 4 • 18
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 113

Linear Correlation in LM's Compositional Generalization and Hallucination

Paper • 2502.04520 • Published Feb 6 • 10
How to Steer LLM Latents for Hallucination Detection?

Paper • 2503.01917 • Published Mar 1 • 11
Are Reasoning Models More Prone to Hallucination?

Paper • 2505.23646 • Published May 29 • 24
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 193

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14, 2024 • 55
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19, 2024 • 25
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14, 2024 • 78

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 39
Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training

Paper • 2410.15460 • Published Oct 20, 2024 • 1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations

Paper • 2410.18860 • Published Oct 24, 2024 • 11
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Paper • 2411.14257 • Published Nov 21, 2024 • 14

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