Papers
SEER: The Span-based Emotion Evidence Retrieval Benchmark
Aneesha Sampath, Oya Aran, Emily Mower Provost
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
Raj Vardhan Tomar, Preslav Nakov, Yuxia Wang
Improving Proficiency and Grammar Accuracy for Chinese Language Learners with Large Language Models
Yuqi Liang, Wenjing Xu, Hongzhi Xu
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
Manon Reusens, Philipp Borchert, Jochen De Weerdt et al.
Surprisal Dynamics for the Detection of Multi-Word Expressions in English
Diego Alves, Sergei Bagdasarov, Elke Teich
BioMistral-Clinical: A Scalable Approach to Clinical LLMs via Incremental Learning and RAG
Ziwei Chen, Bernhard Bermeitinger, Christina Niklaus
Formalizing Test-Time Compute for Function-Level Code Generation
Haau-Sing Li, Patrick Fernandes, Iryna Gurevych et al.
CAPO: Confidence Aware Preference Optimization Learning for Multilingual Preferences
Rhitabrat Pokharel, Yufei Tao, Ameeta Agrawal
Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention
Sora Kadotani, Kosuke Nishida, Kyosuke Nishida
Semantic, Orthographic, and Phonological Biases in Humans’ Wordle Gameplay
Jiadong Liang, Adam Kabbara, Jiaying Liu et al.
Illusions of Relevance: Arbitrary Content Injection Attacks Deceive Retrievers, Rerankers, and LLM Judges
Manveer Singh Tamber, Jimmy Lin
SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation
Haein Kong, A M Muntasir Rahman, Ruixiang Tang et al.
Iterative Critique-Driven Simplification: Targeted Enhancement of Complex Definitions with Small Language Models
Veer Chheda, Avantika Sankhe, Aaditya Uday Ghaisas
Emotion-Aware Dysarthric Speech Reconstruction: LLMs and Multimodal Evaluation with MCDS
Kaushal Attaluri, Radhika Mamidi, Sireesha Chittepu et al.
FB-RAG: Improving RAG with Forward and Backward Lookup
Kushal Chawla, Alfy Samuel, Anoop Kumar et al.
Signs of Struggle: Spotting Cognitive Distortions across Language and Register
Abhishek Kuber, Enrico Liscio, Ruixuan Zhang et al.
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
Shuzhou Yuan, Zhan Qu, Mario Tawfelis et al.
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
Shuzhou Yuan, Ercong Nie, Lukas Kouba et al.
How Much is Too Much? Exploring LoRA Rank Trade-offs for Retaining Knowledge and Domain Robustness
Darshita Rathore, Vineet Kumar, Chetna Bansal et al.
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context
Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra et al.
Enhancing Coreference Resolution with LLM-driven Data Augmentation and Adversarial Filtering
Dohyeon Kim, Gayeon Jung, Jeongseon Cho et al.
Unveiling the Influence of Amplifying Language-Specific Neurons
Inaya Rahmanisa, Lyzander Marciano Andrylie, Mahardika Krisna Ihsani et al.
Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
Sahil Bansal, Sai Shruthi Sistla, Aarti Arikatala et al.
WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada
Braeden Sherritt, Isar Nejadgholi, Efstratios Aivaliotis et al.
CodeEval: A pedagogical approach for targeted evaluation of code-trained Large Language Models
Danny Brahman, Mohammad Mahoor