Cs-Cl
FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
R-Align: Enhancing Generative Reward Models through Rationale-Centric Meta-Judging
Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling
RARe: Retrieval Augmented Retrieval with In-Context Examples
TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking
On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
Reading Between the Waves: Robust Topic Segmentation Using Inter-Sentence Audio Features
Designing Computational Tools for Exploring Causal Relationships in Qualitative Data
Investigating the structure of emotions by analyzing similarity and association of emotion words
Beyond Static Alignment: Hierarchical Policy Control for LLM Safety via Risk-Aware Chain-of-Thought
EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation
MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
Context-Free Recognition with Transformers
Quantifying the Effect of Test Set Contamination on Generative Evaluations
Estimating Causal Effects of Text Interventions Leveraging LLMs
ReBeCA: Unveiling Interpretable Behavior Hierarchy behind the Iterative Self-Reflection of Language Models with Causal Analysis
Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
