Papers
Fast Quiet-STaR: Thinking Without Thought Tokens
Wei Huang, Yizhe Xiong, Xin Ye et al.
MANTA: A Scalable Pipeline for Transmuting Massive Web Corpora into Instruction Datasets
Heuiyeen Yeen, Seokhee Hong, Hyeongu Yun et al.
EMO-RL: Emotion-Rule-Based Reinforcement Learning Enhanced Audio-Language Model for Generalized Speech Emotion Recognition
Pengcheng Li, Botao Zhao, Zuheng Kang et al.
DLTKG: Denoising Logic-based Temporal Knowledge Graph Reasoning
Xiaoke Wang, Fu Zhang, Jingwei Cheng et al.
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
Minghan Wang, Ye Bai, Thuy-Trang Vu et al.
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren et al.
Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition
Panagiotis Kaliosis, John Pavlopoulos
Sparsity May Be All You Need: Sparse Random Parameter Adaptation
Jesus Rios, Pierre Dognin, Ronny Luss et al.
Internal states before wait modulate reasoning patterns
Dmitrii Troitskii, Koyena Pal, Chris Wendler et al.
MMPlanner: Zero-Shot Multimodal Procedural Planning with Chain-of-Thought Object State Reasoning
Afrina Tabassum, Bin Guo, Xiyao Ma et al.
Consistent Discourse-level Temporal Relation Extraction Using Large Language Models
Yi Fan, Michael Strube
CARVQ: Corrective Adaptor with Group Residual Vector Quantization for LLM Embedding Compression
Dayin Gou, Sanghyun Byun, Nilesh Malpeddi et al.
Bias after Prompting: Persistent Discrimination in Large Language Models
Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi et al.
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
Zhaopeng Feng, Jiahan Ren, Jiayuan Su et al.
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
Xuyang Wu, Jinming Nian, Ting-Ruen Wei et al.
Automate Strategy Finding with LLM in Quant Investment
Zhizhuo Kou, Holam Yu, Junyu Luo et al.
SENTRA: Selected-Next-Token Transformer for LLM Text Detection
Mitchell Plyler, Yilun Zhang, Alexander Tuzhilin et al.
From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling
Mohsinul Kabir, Tasfia Tahsin, Sophia Ananiadou
Glitter: A Multi-Sentence, Multi-Reference Benchmark for Gender-Fair German Machine Translation
A Pranav, Janiça Hackenbuchner, Giuseppe Attanasio et al.
Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
Daeun Lee, Jaehong Yoon, Jaemin Cho et al.
Treble Counterfactual VLMs: A Causal Approach to Hallucination
Li Li, Jiashu Qu, Linxin Song et al.
Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates
Anthony Sicilia, Malihe Alikhani
Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
Tong Li, Shu Yang, Junchao Wu et al.
Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation
Keren Artiaga, Sabyasachi Kamila, Haithem Afli et al.
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
Ali Al Lawati, Jason S Lucas, Zhiwei Zhang et al.