Computation and Language

Papers filed under cs.CL on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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10,141 to 10,200 of 11,270

OCC-RAG: Optimal Cognitive Core for Faithful Question Answering
Maksim Savkin, Mikhail Goncharov, Alexander Gambashidze +7
cs.CLarXiv:2606.00683v12026
Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs
Xin Gao, Cheng Yang, Chufan Shi +1
cs.CLcs.CVarXiv:2606.00477v12026
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
Etienne Casanova, Rafal Kocielnik, R. Michael Alvarez
cs.CLcs.AIcs.LGarXiv:2606.00467v12026
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang +2
eess.AScs.CLcs.LGarXiv:2009.09761v32020
LongAttnComp: Cross-Family Context Compression for Long-Context Reasoning
Mengmeng Ji, Ravi Shanker Raju, Jonathan Lingjie Li +1
cs.CLarXiv:2606.01336v22026
Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets +9
cs.CVcs.AIcs.CLarXiv:1904.01201v22019
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
Maria Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli +10
cs.CLcs.AIarXiv:2606.02255v12026
Summaries:한국어
Semantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures
Varsha Suresh, Mohammad Mahdi Abootorabi, Mohamed Salman +5
cs.CLarXiv:2605.30608v32026
A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL
Lei Yang, Siyu Ding, Deyi Xiong
cs.LGcs.CLarXiv:2606.02398v12026
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Charlie Snell, Jaehoon Lee, Kelvin Xu +1
cs.LGcs.CLarXiv:2408.03314v12024
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang +9
cs.CLcs.AIarXiv:1809.08887v52018
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama +1
cs.AIcs.CLcs.LGarXiv:2606.01462v12026
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
cs.CLcs.HCarXiv:1804.03209v12018
Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, Yann Dauphin
cs.CLarXiv:1805.04833v12018
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye +16
cs.AIcs.CLcs.LGarXiv:2307.16789v22023
Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher
Arda Uzunoglu, Alvin Zhang, Daniel Khashabi
cs.LGcs.CLarXiv:2606.01000v12026
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman, Hailey Schoelkopf, Quentin Anthony +10
cs.CLarXiv:2304.01373v22023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang +1
cs.SEcs.CLcs.LGarXiv:2305.01210v32023
Geometric Latent Reasoning Induces Shorter Generations in LLMs
Shashi Kumar, Yacouba Kaloga, Petr Motlicek +2
cs.CLarXiv:2606.02248v12026
Mixtral of Experts
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux +23
cs.LGcs.CLarXiv:2401.04088v12024
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He, Jianfeng Gao, Weizhu Chen
cs.CLcs.LGarXiv:2111.09543v42021
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton +11
cs.CLcs.LGcs.SDarXiv:1703.10135v22017
LLM Anonymization Against Agentic Re-Identification
Ziwen Li, Jianing Wen, Tianshi Li
cs.CRcs.CLarXiv:2605.30848v22026
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
Prateek Kumar Sikdar
cs.CLcs.AIcs.LGarXiv:2606.01838v12026
Graph Convolutional Networks for Text Classification
Liang Yao, Chengsheng Mao, Yuan Luo
cs.CLcs.AIarXiv:1809.05679v32018
MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
Xinyu Che, Junqi Xiong, Yunfei Ge +10
cs.CLcs.AIcs.LGarXiv:2606.01993v12026
AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents
Yiheng Shu, Bernal Jiménez Gutiérrez, Saisri Padmaja Jonnalagedda +3
cs.AIcs.CLarXiv:2606.02461v22026
Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning
Yu Xia, Zhouhang Xie, Xin Xu +4
cs.CLcs.AIarXiv:2606.03965v12026
Large Language Models Hack Rewards, and Society
Wei Liu, Xinyi Mou, Hanqi Yan +2
cs.LGcs.AIcs.CLarXiv:2606.04075v22026
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba +2
cs.CLcs.AIcs.CVarXiv:2305.14325v12023
Universal Sentence Encoder
Daniel Cer, Yinfei Yang, Sheng-yi Kong +10
cs.CLarXiv:1803.11175v22018
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun, Nathan Scales, Nathanael Schärli +8
cs.CLcs.AIarXiv:2210.09261v12022
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark, Urvashi Khandelwal, Omer Levy +1
cs.CLarXiv:1906.04341v12019
MemTrain: Self-Supervised Context Memory Training
Ziheng Li, Xingrun Xing, Haoqing Wang +2
cs.CLarXiv:2606.03197v12026
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations
Rishit Dagli, Abir Harrasse, Luke Zhang +4
cs.LGcs.CLarXiv:2606.05165v12026
WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifacts
Yuxin Meng, Yuhan Suo, Junjie Wang +9
cs.CLcs.AIarXiv:2606.03220v12026
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Daniel Cer, Mona Diab, Eneko Agirre +2
cs.CLarXiv:1708.00055v12017
M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks
Jie Huang, Ruixun Liu, Sirui Sun +4
cs.CVcs.AIcs.CLarXiv:2606.05008v12026
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi +1
cs.CLarXiv:1611.01603v62016
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman +4
cs.CLcs.AIarXiv:2202.12837v22022
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling
Runpeng Dai, Tong Zheng, Rui Liu +2
cs.CLarXiv:2606.03102v12026
World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning
Yucheng Zhou, Wei Tao, Yiwen Guo +1
cs.CVcs.CLarXiv:2606.03603v12026
Multilingual Denoising Pre-training for Neural Machine Translation
Yinhan Liu, Jiatao Gu, Naman Goyal +5
cs.CLarXiv:2001.08210v22020
KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report
Maurice Kraus, Ruben Härle, Sebastian Sztwiertnia +5
cs.CLarXiv:2606.03773v22026
Stateful Visual Encoders for Vision-Language Models
Zirui Wang, Junwei Yu, Adam Yala +3
cs.CVcs.CLcs.LGarXiv:2606.04433v12026
Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game
Chensong Huang, Changyu Chen, Chenwei Lin +3
cs.CLcs.CYecon.GNarXiv:2606.04978v12026
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang +2
cs.CLarXiv:2003.07082v22020
DAR: Deontic Reasoning with Agentic Harnesses
Guangyao Dou, William Jurayj, Nils Holzenberger +1
cs.CLcs.AIarXiv:2606.05009v12026
Streaming Communication in Multi-Agent Reasoning
Zhen Yang, Xiaogang Xu, Wen Wang +3
cs.CLcs.AIcs.MAarXiv:2606.05158v22026
Audio Interaction Model
Zhifei Xie, Zihang Liu, Ze An +8
cs.SDcs.AIcs.CLarXiv:2606.05121v12026
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
Soyeong Jeong, Jinheon Baek, Minki Kang +1
cs.CLcs.AIcs.LGarXiv:2606.04743v22026
Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions
Xinnong Zhang, Wanting Shan, Hanjia Lyu +2
cs.CLcs.MMcs.SIarXiv:2606.06443v22026
Towards Truly Multilingual ASR: Generalizing Code-Switching ASR to Unseen Language Pairs
Gio Paik, Hyunseo Shin, Soungmin Lee
cs.CLeess.ASarXiv:2606.05846v22026
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
Wangcheng Tao, Han Wu, Weng-Fai Wong
cs.CLcs.AIarXiv:2606.04465v12026
GENEB: Why Genomic Models Are Hard to Compare
Daria Ledneva, Mikhail Nuridinov, Denis Kuznetsov
cs.CLcs.LGq-bio.GNarXiv:2606.04525v42026
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi, Danqi Chen, Yinhan Liu +3
cs.CLcs.LGarXiv:1907.10529v32019
Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference
Abhishek Divekar
cs.LGcs.AIcs.CLarXiv:2606.05308v12026
AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents
Yang Li, Jiaxiang Liu, Jiang Cai +1
cs.CLarXiv:2606.05557v12026
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk +2
cs.CLarXiv:1705.02364v52017
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs
Gianluca Barmina, Peter Schneider-Kamp, Lukas Galke Poech
cs.CLcs.AIarXiv:2606.06286v12026

Computation and Language

OCC-RAG: Optimal Cognitive Core for Faithful Question Answering

Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs

On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

DiffWave: A Versatile Diffusion Model for Audio Synthesis

LongAttnComp: Cross-Family Context Compression for Long-Context Reasoning

Habitat: A Platform for Embodied AI Research

Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025

Semantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures

A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Hierarchical Neural Story Generation

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Geometric Latent Reasoning Induces Shorter Generations in LLMs

Mixtral of Experts

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Tacotron: Towards End-to-End Speech Synthesis

LLM Anonymization Against Agentic Re-Identification

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models

Graph Convolutional Networks for Text Classification

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Large Language Models Hack Rewards, and Society

Improving Factuality and Reasoning in Language Models through Multiagent Debate

Universal Sentence Encoder

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

What Does BERT Look At? An Analysis of BERT's Attention

MemTrain: Self-Supervised Context Memory Training

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations

WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifacts

SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks

Bidirectional Attention Flow for Machine Comprehension

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling

World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning

Multilingual Denoising Pre-training for Neural Machine Translation

KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report

Stateful Visual Encoders for Vision-Language Models

Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

DAR: Deontic Reasoning with Agentic Harnesses

Streaming Communication in Multi-Agent Reasoning

Audio Interaction Model

TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration

Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions

Towards Truly Multilingual ASR: Generalizing Code-Switching ASR to Unseen Language Pairs

SePO: Self-Evolving Prompt Agent for System Prompt Optimization

GENEB: Why Genomic Models Are Hard to Compare

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference

AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs