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Computation & Language / NLP
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Newest papers, page 233
Do Audio Language Models Hear and Read Distinctive Features Alike?
Audio language models pass speech and text through a single decoder.ARGUS: Role-Aware Event Knowledge Graphs for U.S. Employment-Discrimination Complaints
U.S. employment-discrimination complaints describe complex event sequences that are not explicitly captured by lexical or embedding-based representations alone.ExplorationBench: Measuring AI Systems' Exploration in Verifiable Alien Worlds
Scientific discovery begins where known problems end.PoEM: Predicting RL Outcomes from Existing Policies
Foundation models are post-trained with reinforcement learning (RL) to maximize specific rewards, such as human alignment, correctness, or instruction following.To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech
Online misinformation increasingly appears in spoken formats such as news clips, podcasts, interviews, political speeches, and social media videos, creating a need for fact-checking systems that can…SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data
Recent research on Multimodal Sentiment Analysis (MSA) has focused on learning from language, visual, and acoustic modalities with incomplete data to infer human sentiment.JevOut: Natural Context Can Flip Decision Models
Dedicated decision models such as Jev map unstructured language to probability distributions over finite choices, allowing their outputs to directly route requests, select tools, and trigger actions.Agentic Detection of Online Conspiracies
Conspiratorial discourse on social media is not always expressed through explicit claims or stable lexical markers.What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study
Multimodal misinformation is increasingly crafted to look convincing by pairing a textual claim with an image that appears to "prove" it.A Unified Account of Concepts and Chunks
Cognitive psychology has studied how people encode, use, and learn concepts that describe categories, and how they represent, recognize, and acquire chunks for familiar patterns of elements.All In Good Time: Causality-Aware Framework for LLM-Based Simultaneous Speech-to-Speech Translation
Large Language Models (LLMs) have shown strong performance in low-resource offline translation; however, extending them to simultaneous speech-to-speech translation (Simul-S2ST) remains challenging…Inference-Time Target Speaker Unlearning in LLM-Based Automatic Speech Recognition
We introduce target-speaker unlearning ASR (TSU-ASR) task in a fully end-to-end framework for multi-speaker ASR and diarization.RAZOR: Pruning Replaceable Experts in LLMs
Mixture-of-experts (MoE) models activate only a few experts per token yet store the entire expert pool.Where Does Retrieval-Based Open-Ended Evaluation Fail? Automatic Taxonomy Induction from Long-Form Medical Answer Factuality Verification
Retrieval-based factuality evaluation, where LLM-generated claims are verified against evidence from authoritative medical corpora, has become the dominant paradigm for scalable hallucination…CARGO: Context-Aware Retrieval-Gated Evaluation of Agentic AI in Production
Reference-based LLM-as-a-judge evaluation assumes the reference answer is the target.Asymmetric Classifier-Free Guidance for Target-Speaker ASR
Target-speaker automatic speech recognition (TS-ASR) must identify and transcribe a desired speaker under varying overlap and noise conditions.AcoustiClaim: A Numeric Claim Benchmark with Instrument Ground Truth
Audio language models state numbers for acoustic quantities, and neither human opinion nor a judge model says whether such a number is true of the signal.Breaking Homogeneity: Diversifying Persona Sets for Creative LLM Outputs
Language models often produce homogeneous responses to open-ended tasks; such homogeneity can spawn groupthink-the convergence of ideas toward a singular and potentially suboptimal decision.Inquesto Score: A reliability Protocol For Voice Agents
Voice agents are increasingly deployed in workflows where failed interactions can affect transactions, access, and other consequential outcomes, creating a need for reproducible and interpretable…Feeding BabyLMs Macaroni: Code-Switching Curricula Cause Cross-Lingual Convergence
Children in multilingual communities often code-switch, using multiple languages in a single utterance.