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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2,881 to 2,940 of 11,247

Multi-domain Dialog State Tracking using Recurrent Neural Networks
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson +5
cs.CLcs.LGarXiv:1506.07190v12015
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
Zhihan Zhang, Shiyang Li, Zixuan Zhang +11
cs.CLarXiv:2502.08745v22025
A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges
Yunjia Xi, Jianghao Lin, Yongzhao Xiao +7
cs.IRcs.AIcs.CLarXiv:2508.05668v32025
Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
Wenhan Ma, Hailin Zhang, Liang Zhao +4
cs.CLcs.AIcs.LGarXiv:2510.11370v22025
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng +1
cs.CLcs.AIcs.LGarXiv:2310.06694v22023
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support
Ashish Sharma, Inna W. Lin, Adam S. Miner +2
cs.CLcs.HCcs.SIarXiv:2203.15144v12022
Release Strategies and the Social Impacts of Language Models
Irene Solaiman, Miles Brundage, Jack Clark +12
cs.CLcs.AIcs.CYarXiv:1908.09203v22019
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Yi-Fan Zhang, Xingyu Lu, Xiao Hu +13
cs.CVcs.CLarXiv:2505.02835v22025
Large Language Models and Games: A Survey and Roadmap
Roberto Gallotta, Graham Todd, Marvin Zammit +4
cs.CLcs.AIcs.HCarXiv:2402.18659v52024
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
Yu-An Chung, James Glass
cs.CLarXiv:1803.08976v22018
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
Yuhang Liu, Pengxiang Li, Zishu Wei +7
cs.AIcs.CLcs.HCarXiv:2501.04575v12025
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel +1
cs.CLarXiv:1909.06694v12019
EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities
Feitong Qiao, Liren Peng, Shiming Ren +7
cs.CLcs.AIcs.CRarXiv:2609.00487v12026
SCROLLS: Standardized CompaRison Over Long Language Sequences
Uri Shaham, Elad Segal, Maor Ivgi +8
cs.CLcs.AIcs.LGarXiv:2201.03533v22022
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
Chen Qian, Dongrui Liu, Haochen Wen +3
cs.AIcs.CLarXiv:2506.02867v22025
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Se June Joo, Doyoung Kim +4
cs.CLcs.AIcs.LGarXiv:2305.14045v22023
Voting or Consensus? Decision-Making in Multi-Agent Debate
Lars Benedikt Kaesberg, Jonas Becker, Jan Philip Wahle +2
cs.MAcs.AIcs.CLarXiv:2502.19130v42025
Self-Edit: Fault-Aware Code Editor for Code Generation
Kechi Zhang, Zhuo Li, Jia Li +2
cs.SEcs.CLarXiv:2305.04087v52023
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Han Li, Yuling Shi, Shaoxin Lin +6
cs.SEcs.CLcs.LGarXiv:2507.23348v12025
DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
Zirui Wu, Lin Zheng, Zhihui Xie +8
cs.CLarXiv:2602.01326v12026
UFT: Unifying Supervised and Reinforcement Fine-Tuning
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
cs.LGcs.CLarXiv:2505.16984v22025
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Jiabo Ye, Anwen Hu, Haiyang Xu +10
cs.CLcs.AIarXiv:2307.02499v12023
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment
Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu +25
eess.AScs.CLcs.SDarXiv:2507.02768v22025
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Corby Rosset, Ching-An Cheng, Arindam Mitra +3
cs.LGcs.AIcs.CLarXiv:2404.03715v12024
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
Shengyao Zhuang, Xueguang Ma, Bevan Koopman +2
cs.IRcs.CLarXiv:2503.06034v12025
MixLLM: Dynamic Routing in Mixed Large Language Models
Xinyuan Wang, Yanchi Liu, Wei Cheng +5
cs.CLcs.AIcs.DBarXiv:2502.18482v12025
Defeating the Training-Inference Mismatch via FP16
Penghui Qi, Zichen Liu, Xiangxin Zhou +4
cs.LGcs.AIcs.CLarXiv:2510.26788v12025
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
Haokun Lin, Haobo Xu, Yichen Wu +6
cs.CLarXiv:2406.01721v32024
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Han Wu, Yuxuan Yao, Shuqi Liu +7
cs.CLarXiv:2503.20641v22025
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
Shuang Sun, Huatong Song, Yuhao Wang +10
cs.CLcs.AIcs.IRarXiv:2505.16834v32025
Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL
Songjun Tu, Jiahao Lin, Qichao Zhang +4
cs.CLcs.AIarXiv:2505.10832v32025
You Impress Me: Dialogue Generation via Mutual Persona Perception
Qian Liu, Yihong Chen, Bei Chen +4
cs.CLcs.AIarXiv:2004.05388v12020
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
Ziyu Wan, Yunxiang Li, Xiaoyu Wen +8
cs.AIcs.CLcs.LGarXiv:2503.09501v32025
AutoHarness: improving LLM agents by automatically synthesizing a code harness
Xinghua Lou, Miguel Lázaro-Gredilla, Antoine Dedieu +3
cs.CLcs.AIarXiv:2603.03329v12026
A Report on the Complex Word Identification Shared Task 2018
Seid Muhie Yimam, Chris Biemann, Shervin Malmasi +5
cs.CLarXiv:1804.09132v12018
SWE-Exp: Experience-Driven Software Issue Resolution
Silin Chen, Shaoxin Lin, Yuling Shi +8
cs.SEcs.CLcs.LGarXiv:2507.23361v22025
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Peifeng Wang, Jialong Han, Chenliang Li +1
cs.AIcs.CLarXiv:1811.01399v22018
OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Wasi Uddin Ahmad, Aleksander Ficek, Mehrzad Samadi +4
cs.SEcs.CLarXiv:2504.04030v22025
Learning to Remember Translation History with a Continuous Cache
Zhaopeng Tu, Yang Liu, Shuming Shi +1
cs.CLarXiv:1711.09367v12017
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge, Jing Hu, Lei Wang +3
cs.CLcs.AIcs.LGarXiv:2307.06945v42023
Reasoning Over Semantic-Level Graph for Fact Checking
Wanjun Zhong, Jingjing Xu, Duyu Tang +5
cs.CLcs.AIarXiv:1909.03745v32019
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
Yiran Guo, Lijie Xu, Jie Liu +2
cs.LGcs.AIcs.CLarXiv:2505.23564v22025
Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Shizhe Diao, Yu Yang, Yonggan Fu +11
cs.CLarXiv:2504.13161v22025
Safety in Large Reasoning Models: A Survey
Cheng Wang, Yue Liu, Baolong Bi +9
cs.CLarXiv:2504.17704v32025
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
Charlie Zhang, Graham Neubig, Xiang Yue
cs.CLarXiv:2512.07783v12025
Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments
Lin Chen, Yitong Chen, Yong Li
cs.CYcs.CLarXiv:2608.29803v12026
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Fuli Luo, Peng Li, Jie Zhou +4
cs.CLarXiv:1905.10060v12019
Scaling Test-Time Compute Without Verification or RL is Suboptimal
Amrith Setlur, Nived Rajaraman, Sergey Levine +1
cs.LGcs.CLarXiv:2502.12118v22025
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
Jingbo Yang, Bairu Hou, Wei Wei +2
cs.CLarXiv:2502.16002v42025
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
Fartash Faghri, David J. Fleet, Jamie Ryan Kiros +1
cs.LGcs.CLcs.CVarXiv:1707.05612v42017
GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding
Fei Tang, Zhangxuan Gu, Zhengxi Lu +9
cs.LGcs.AIcs.CLarXiv:2507.15846v32025
MiniCPM4: Ultra-Efficient LLMs on End Devices
MiniCPM Team, Chaojun Xiao, Yuxuan Li +80
cs.CLcs.AIarXiv:2506.07900v22025
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov, Myle Ott, Michael Auli +2
cs.CLarXiv:1711.04956v52017
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
Yubo Ma, Zehao Wang, Yixin Cao +4
cs.CLcs.AIarXiv:2202.12109v22022
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
Jinhe Bi, Danqi Yan, Yifan Wang +8
cs.AIcs.CLarXiv:2505.13408v12025
Jointly Learning Entity and Relation Representations for Entity Alignment
Yuting Wu, Xiao Liu, Yansong Feng +2
cs.CLarXiv:1909.09317v12019
RePro: Proof-Verified Benchmark Rewriting for Reliable Evaluation of LLM Mathematical Problem Solving
Xiyuan Zhou, Zhuoqi Li, Xinlei Wang +6
cs.CLcs.AIarXiv:2609.00062v12026
Emergent autonomous scientific research capabilities of large language models
Daniil A. Boiko, Robert MacKnight, Gabe Gomes
physics.chem-phcs.CLarXiv:2304.05332v12023
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
Dujian Ding, Ankur Mallick, Shaokun Zhang +7
cs.LGcs.AIcs.CLarXiv:2506.22716v12025
START: Self-taught Reasoner with Tools
Chengpeng Li, Mingfeng Xue, Zhenru Zhang +7
cs.CLarXiv:2503.04625v22025

Computation and Language

Multi-domain Dialog State Tracking using Recurrent Neural Networks

IHEval: Evaluating Language Models on Following the Instruction Hierarchy

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges

Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support

Release Strategies and the Social Impacts of Language Models

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Large Language Models and Games: A Survey and Roadmap

Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

EvoFlint: An Evolutionary Atlas of Multi-Turn LLM Vulnerabilities

SCROLLS: Standardized CompaRison Over Long Language Sequences

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Voting or Consensus? Decision-Making in Multi-Agent Debate

Self-Edit: Fault-Aware Code Editor for Code Generation

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution

DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas

UFT: Unifying Supervised and Reinforcement Fine-Tuning

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

MixLLM: Dynamic Routing in Mixed Large Language Models

Defeating the Training-Inference Mismatch via FP16

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

You Impress Me: Dialogue Generation via Mutual Persona Perception

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning

AutoHarness: improving LLM agents by automatically synthesizing a code harness

A Report on the Complex Word Identification Shared Task 2018

SWE-Exp: Experience-Driven Software Issue Resolution

Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs

Learning to Remember Translation History with a Continuous Cache

In-context Autoencoder for Context Compression in a Large Language Model

Reasoning Over Semantic-Level Graph for Fact Checking

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models

Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Safety in Large Reasoning Models: A Survey

On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models

Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

Scaling Test-Time Compute Without Verification or RL is Suboptimal

KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding

MiniCPM4: Ultra-Efficient LLMs on End Devices

Classical Structured Prediction Losses for Sequence to Sequence Learning

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process

Jointly Learning Entity and Relation Representations for Entity Alignment

RePro: Proof-Verified Benchmark Rewriting for Reliable Evaluation of LLM Mathematical Problem Solving

Emergent autonomous scientific research capabilities of large language models

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute

START: Self-taught Reasoner with Tools