A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods https://arxiv.org/abs/2501.13947 #cs.CL #cs.AI
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using LLMs https://arxiv.org/abs/2501.13948 #cs.CL #cs.AI
Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study https://arxiv.org/abs/2501.13949 #cs.CL #cs.AI
iServe: An Intent-based Serving System for LLMs https://arxiv.org/abs/2501.13111 #cs.SE #cs.LG
Dagger Behind Smile: Fool LLMs with a Happy Ending Story https://arxiv.org/abs/2501.13115 #cs.CL #cs.AI #cs.CR
MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought Thinking https://arxiv.org/abs/2501.13117 #cs.CL #cs.AI
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness https://arxiv.org/abs/2501.13120 #cs.CL #cs.AI #cs.LG #cs.MA
Episodic Memories Generation and Evaluation Benchmark for Large Language Models https://arxiv.org/abs/2501.13121 #cs.CL #cs.AI #cs.LG
Zero-Shot Verification-guided Chain of Thoughts https://arxiv.org/abs/2501.13122 #cs.CL #cs.AI
Debate Helps Weak-to-Strong Generalization https://arxiv.org/abs/2501.13124 #cs.CL #cs.AI
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction https://arxiv.org/abs/2501.13125 #cs.CL #cs.AI #cs.LG
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data https://arxiv.org/abs/2501.13126 #cs.CL #cs.AI
FinSphere: A Conversational Stock Analysis Agent Equipped with Quantitative Tools based on Real-Time Database https://arxiv.org/abs/2501.12399 #q-fin.CP #cs.AI #cs.CL #cs.IR
Scopes of Alignment https://arxiv.org/abs/2501.12405 #cs.CY #cs.AI #cs.CL
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution https://arxiv.org/abs/2501.12407 #cs.DC #cs.LG
Egoistic MDS-based Rigid Body Localization https://arxiv.org/abs/2501.12417 #eess.SP #cs.RO
ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models https://arxiv.org/abs/2501.12418 #cs.CV #cs.AI
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity? https://arxiv.org/abs/2501.12420 #cs.SE #cs.AI #cs.LG
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