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Academic · 1 min

Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware …

arXiv:2603.22709v1 Announce Type: new Abstract: Conversational automatic speech recognition remains challenging due to overlapping speech, far-field noise, and varying speaker counts. While recent LLM-based systems …

Naohiro Tawara, Samuele Cornell, Alexander Polok, Marc Delcroix, Luk\'a\v{s} Burget, Shinji Watanabe

104 views Mar 25

Academic · 1 min

ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization

arXiv:2603.22791v1 Announce Type: new Abstract: How should multi-agent systems be designed, and can that design knowledge be captured in a form that is inspectable, revisable, …

Weijia Song, Jiashu Yue, Zhe Pang

22 views Mar 25

Academic · 1 min

Evaluating Prompting Strategies for Chart Question Answering with Large Language Models

arXiv:2603.22288v1 Announce Type: new Abstract: Prompting strategies affect LLM reasoning performance, but their role in chart-based QA remains underexplored. We present a systematic evaluation of …

Ruthuparna Naikar, Ying Zhu

5 views Mar 25

Academic · 1 min

Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts

arXiv:2603.22813v1 Announce Type: new Abstract: Humans often juggle multiple, sometimes conflicting objectives and shift their priorities as circumstances change, rather than following a fixed objective …

Xianwei Cao, Dou Quan, Zhenliang Zhang, Shuang Wang

19 views Mar 25

Academic · 1 min

Beyond Binary Correctness: Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks

arXiv:2603.22744v1 Announce Type: new Abstract: Large language models excel on objectively verifiable tasks such as math and programming, where evaluation reduces to unit tests or …

Abhishek Chandwani, Ishan Gupta

13 views Mar 25

Academic · 1 min

MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing

arXiv:2603.22289v1 Announce Type: new Abstract: Knowledge Tracing (KT) models students' evolving knowledge states to predict future performance, serving as a foundation for personalized education. While …

Runze Li, Kedi Chen, Guwei Feng, Mo Yu, Jun Wang, Wei Zhang

11 views Mar 25

Academic · 1 min

Improving LLM Predictions via Inter-Layer Structural Encoders

arXiv:2603.22665v1 Announce Type: new Abstract: The standard practice in Large Language Models (LLMs) is to base predictions on the final-layer token representations. Recent studies, however, …

Tom Ulanovski (Tel Aviv University), Eyal Blyachman (Tel Aviv University), Maya Bechler-Speicher (Meta)

20 views Mar 25

Academic · 1 min

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages

arXiv:2603.22642v1 Announce Type: new Abstract: Language barriers affect 27.3 million U.S. residents with non-English language preference, yet professional medical translation remains costly and often unavailable. …

Chukwuebuka Anyaegbuna, Eduardo Juan Perez Guerrero, Jerry Liu, Timothy Keyes, April Liang, Natasha Steele, Stephen Ma, Jonathan Chen, Kevin Schulman

25 views Mar 25

Academic · 1 min

Intelligence Inertia: Physical Principles and Applications

arXiv:2603.22347v1 Announce Type: new Abstract: While Landauer's principle establishes the fundamental thermodynamic floor for information erasure and Fisher Information provides a metric for local curvature …

Jipeng Han

21 views Mar 25

Academic · 1 min

LLM-guided headline rewriting for clickability enhancement without clickbait

arXiv:2603.22459v1 Announce Type: new Abstract: Enhancing reader engagement while preserving informational fidelity is a central challenge in controllable text generation for news media. Optimizing news …

Yehudit Aperstein, Linoy Halifa, Sagiv Bar, Alexander Apartsin

18 views Mar 25

Academic · 1 min

Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

arXiv:2603.22633v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems for biomedical literature are typically evaluated using ranking metrics like Mean Reciprocal Rank (MRR), which measure …

Pouria Mortezaagha, Arya Rahgozar

41 views Mar 25

Academic · 1 min

MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation

arXiv:2603.23234v1 Announce Type: new Abstract: Large language model (LLM)-based agents rely on memory mechanisms to reuse knowledge from past problem-solving experiences. Existing approaches typically construct …

Yurui Chang, Yiran Wu, Qingyun Wu, Lu Lin

6 views Mar 25

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Articles

Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware …

ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization

Evaluating Prompting Strategies for Chart Question Answering with Large Language Models

Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts

Beyond Binary Correctness: Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks

MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing

Improving LLM Predictions via Inter-Layer Structural Encoders

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages

Intelligence Inertia: Physical Principles and Applications

LLM-guided headline rewriting for clickability enhancement without clickbait

Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

MemCollab: Cross-Agent Memory Collaboration via Contrastive Trajectory Distillation

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