BenSyc: Benchmarking Conversational Sycophancy and Human Alignment in LLMs for Bengali Contexts (arxiv.org) 3h
OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module Design (arxiv.org) 3h
TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning (arxiv.org) 3h
The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring (arxiv.org) 3h fine-tuningllama
PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning (arxiv.org) 3h moe
Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark (arxiv.org) 3h
Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models (arxiv.org) 3h
Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning (arxiv.org) 3h fine-tuning
Multilingual Word-Level Forced Alignment with Self-Supervised Representations and Learned Dynamic Programming (arxiv.org) 3h
Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs (arxiv.org) 3h
Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation (arxiv.org) 3h
Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 (arxiv.org) 3h
Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer (arxiv.org) 3h
Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It (arxiv.org) 3h fine-tuning
SpeechJBB: Probing Safety Alignment and Comprehension in Large Audio Language Models under Code-Switched Speech (arxiv.org) 3h
Streaming Knowledge Compilation: Proactive Materiality-Scored Pinning for Time-Evolving LLM Wikis (arxiv.org) 3h
Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling (arxiv.org) 3h mixture-of-experts
SpenseGPT: Practical One-shot Pruning Enabling Sparse and Dense GEMMs for LLM Inference (arxiv.org) 3h
How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs (arxiv.org) 3h
Training LLMs to Enforce Multi-Level Instruction Hierarchies via Gravity-Weighted Direct Preference Optimization (arxiv.org) 3h